{"_id":"keras-js","_rev":"11-b18ea9d71cec2307f07784ea0f89107e","name":"keras-js","description":"Run Keras models in the browser, with GPU support using WebGL","dist-tags":{"latest":"1.0.3"},"versions":{"0.1.0":{"name":"keras-js","version":"0.1.0","description":"Run Keras models (tensorflow backend) in the browser, with GPU support","main":"lib/index.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; NODE_ENV=production BABEL_ENV=node babel src --out-dir lib","build":"npm run build:browser && npm run build:node","prepublish":"npm run build","watch:demos":"cd demos && NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:demos":"cd demos && NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","server":"http-server . -c-1 -p 3000"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","machine","learning","neural","networks","javascript","webgl","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"bluebird":"^3.4.7","cwise":"^1.0.9","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","weblas":"^0.9.1"},"devDependencies":{"autoprefixer":"^6.7.5","axios":"^0.15.3","babel-cli":"^6.23.0","babel-core":"^6.23.1","babel-loader":"^6.3.2","babel-plugin-transform-async-to-module-method":"^6.22.0","babel-plugin-transform-class-properties":"^6.23.0","babel-plugin-transform-object-rest-spread":"^6.23.0","babel-polyfill":"^6.23.0","babel-preset-env":"^1.1.8","css-loader":"^0.26.1","glslify-loader":"^1.0.2","http-server":"^0.9.0","postcss-loader":"^1.3.1","precss":"^1.4.0","raw-loader":"^0.5.1","style-loader":"^0.13.1","webpack":"^2.2.1"},"gitHead":"58a3e616aea69b8a1d699a0a7126005a23711ab7","_id":"keras-js@0.1.0","_shasum":"cbd3c2c077ed101ce2e76e3a3950ae44f82ab105","_from":".","_npmVersion":"4.1.2","_nodeVersion":"7.6.0","_npmUser":{"name":"transcranial","email":"lchen3@gmail.com"},"dist":{"shasum":"cbd3c2c077ed101ce2e76e3a3950ae44f82ab105","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-0.1.0.tgz","integrity":"sha512-bebqv4l3LxVBEIFBT4tOsvUHYgYJm1dWAFjiW5bpHfaqjMvicgLhl6R+AYfDuRwAd0DVXESLpH+bnVCXFltxvw==","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEQCIBD44z1xcmFrYUjC2r8O6KDIdV3IghqINFZ1C3CdkLMRAiBH97ZYKbUEfX9TMKa29kfh1m9aNaUDIfhpAginCwqL0Q=="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"packages-12-west.internal.npmjs.com","tmp":"tmp/keras-js-0.1.0.tgz_1487830563357_0.4703567046672106"},"directories":{}},"0.2.0":{"name":"keras-js","version":"0.2.0","description":"Run Keras models (tensorflow backend) in the browser, with GPU support","main":"lib/index.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; cp -r src lib; NODE_ENV=production BABEL_ENV=node babel lib --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","machine","learning","neural","networks","javascript","webgl","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"axios":"^0.16.1","babel-polyfill":"^6.23.0","bluebird":"^3.5.0","cwise":"^1.0.10","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","weblas":"^0.9.1"},"devDependencies":{"babel-cli":"^6.24.1","babel-core":"^6.24.1","babel-eslint":"^7.2.3","babel-loader":"^7.0.0","babel-plugin-transform-async-to-module-method":"^6.24.1","babel-plugin-transform-class-properties":"^6.24.1","babel-plugin-transform-object-rest-spread":"^6.23.0","babel-preset-env":"^1.4.0","blueimp-load-image":"^2.12.2","css-loader":"^0.28.1","eslint":"^3.19.0","eslint-loader":"^1.7.1","eslint-plugin-html":"^2.0.3","glslify-loader":"^1.0.2","http-server":"^0.10.0","postcss-cssnext":"^2.11.0","postcss-import":"^10.0.0","postcss-loader":"^2.0.5","raw-loader":"^0.5.1","vue":"^2.3.3","vue-loader":"^12.1.0","vue-mdl":"^1.1.1","vue-router":"^2.5.3","vue-template-compiler":"^2.3.3","webpack":"^2.5.1"},"gitHead":"e57f3606c00ea823bb8cd90936f8c0f3174e997f","_id":"keras-js@0.2.0","_shasum":"a109e30cf9f3b33b84ebbc5fb66fcc92367ce61f","_from":".","_npmVersion":"4.2.0","_nodeVersion":"7.9.0","_npmUser":{"name":"transcranial","email":"lchen3@gmail.com"},"dist":{"shasum":"a109e30cf9f3b33b84ebbc5fb66fcc92367ce61f","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-0.2.0.tgz","integrity":"sha512-dYC4Xk3Ks317zxslEYrk/lRV4CjQcp411r3OQIkXdTD9bm6rZX7ZSPUF+GidLpZg6We3GbvTu2V9Fo5PHYT2PQ==","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEUCIHDT2GAf/pguhF3NMDbwv3/72JpHzXq0Od0BlyvtfhkMAiEA8zvH1oMQC7qWcE7fTVd8t1MX2ZK9hpmGm1HkNFoGTjY="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"packages-18-east.internal.npmjs.com","tmp":"tmp/keras-js-0.2.0.tgz_1495163469664_0.21734092966653407"},"directories":{}},"0.3.0":{"name":"keras-js","version":"0.3.0","description":"Run Keras models (tensorflow backend) in the browser, with GPU support","main":"lib/index.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; cp -r src lib; NODE_ENV=production BABEL_ENV=node babel lib --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","machine","learning","neural","networks","javascript","webgl","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"axios":"^0.16.1","babel-polyfill":"^6.23.0","bluebird":"^3.5.0","cwise":"^1.0.10","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","weblas":"^0.9.1"},"devDependencies":{"babel-cli":"^6.24.1","babel-core":"^6.24.1","babel-eslint":"^7.2.3","babel-loader":"^7.0.0","babel-plugin-transform-async-to-module-method":"^6.24.1","babel-plugin-transform-class-properties":"^6.24.1","babel-plugin-transform-object-rest-spread":"^6.23.0","babel-preset-env":"^1.4.0","blueimp-load-image":"^2.12.2","css-loader":"^0.28.1","eslint":"^3.19.0","eslint-loader":"^1.7.1","eslint-plugin-html":"^2.0.3","glslify-loader":"^1.0.2","http-server":"^0.10.0","postcss-cssnext":"^2.11.0","postcss-import":"^10.0.0","postcss-loader":"^2.0.5","raw-loader":"^0.5.1","vue":"^2.3.3","vue-loader":"^12.1.0","vue-mdl":"^1.1.1","vue-router":"^2.5.3","vue-template-compiler":"^2.3.3","webpack":"^2.5.1"},"gitHead":"2c97e25d9237eff4033ec52b0b37422abc45e503","_id":"keras-js@0.3.0","_shasum":"5fbc326aca69ebda75c46b98ece339c1703eb5e8","_from":".","_npmVersion":"4.2.0","_nodeVersion":"7.9.0","_npmUser":{"name":"transcranial","email":"lchen3@gmail.com"},"dist":{"shasum":"5fbc326aca69ebda75c46b98ece339c1703eb5e8","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-0.3.0.tgz","integrity":"sha512-D1fmY4HaMHk4HM/rGekkM1SPzdTby/FGWD5TaPBhPmDGYpSaykqnvfPlE4uuSvG9URKK2KV/qVTKbzvgbIj6MQ==","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEQCIAidFr5Se2q5Q5VHIUndcWeKTsdq5h4GfSQYdfUZPlzOAiAwVqt8eJhVsMuh1D//g7+8wSQ1MOEtYEHq5x90qS486A=="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/keras-js-0.3.0.tgz_1495309022231_0.7885153957176954"},"directories":{}},"1.0.0":{"name":"keras-js","version":"1.0.0","description":"Run Keras models in the browser, with GPU support using WebGL","main":"lib/index.js","unpkg":"dist/keras.min.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; NODE_ENV=production BABEL_ENV=node babel src --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","proto2js":"pbjs --target static-module --wrap es6 proto/model.proto > src/proto.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","neural","networks","javascript","webgl","webgl2","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"@babel/polyfill":"7.0.0-beta.36","axios":"^0.17.1","bluebird":"^3.5.1","cwise":"^1.0.10","eventemitter3":"^3.0.0","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-resample":"^1.0.1","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","performance-now":"^2.1.0","protobufjs":"^6.8.3"},"devDependencies":{"@babel/cli":"7.0.0-beta.36","@babel/core":"7.0.0-beta.36","@babel/plugin-proposal-class-properties":"7.0.0-beta.36","@babel/plugin-proposal-object-rest-spread":"7.0.0-beta.36","@babel/preset-env":"7.0.0-beta.36","babel-eslint":"^8.1.2","babel-loader":"8.0.0-beta.0","babel-plugin-inline-import":"^2.0.6","babel-plugin-lodash":"^3.3.2","blueimp-load-image":"^2.17.1","chroma-js":"^1.3.5","css-loader":"^0.28.7","eslint":"^4.14.0","eslint-loader":"^1.9.0","eslint-plugin-html":"^4.0.1","http-server":"^0.10.0","postcss-cssnext":"^3.0.2","postcss-import":"^11.0.0","postcss-loader":"^2.0.9","style-loader":"^0.19.1","vue":"^2.5.13","vue-loader":"^13.6.2","vue-router":"^3.0.1","vue-template-compiler":"^2.5.13","vuetify":"^0.17.6","webpack":"^3.10.0"},"gitHead":"1088ba78683fda61437f3b21f6e77d953191e831","_id":"keras-js@1.0.0","_npmVersion":"5.5.1","_nodeVersion":"9.3.0","_npmUser":{"name":"transcranial","email":"leon@md.ai"},"dist":{"integrity":"sha512-tC4AT6gUd69Vl7Xb5WWaAhFxzQqPUJU1SgNvDEJnKf62kWH3B1rMV/SF7gH47uySzVPNfVXVA/KkYLOTcoajmA==","shasum":"8de50a5732c20523f2dd7c291eb89debf7fe3249","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-1.0.0.tgz","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEUCIGy+8M6gKykfzrLL5R61L8sy/nHwUFYBHXG96vJAulSqAiEA/gCiaMDcPN76F5z3AZ0RMeLy3VYqghyYGTc1Wh5NWzI="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/keras-js-1.0.0.tgz_1514918596146_0.03542083315551281"},"directories":{}},"1.0.1":{"name":"keras-js","version":"1.0.1","description":"Run Keras models in the browser, with GPU support using WebGL","main":"lib/index.js","unpkg":"dist/keras.min.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; NODE_ENV=production BABEL_ENV=node babel src --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","proto2js":"pbjs --target static-module --wrap es6 proto/model.proto > src/proto.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","neural","networks","javascript","webgl","webgl2","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"@babel/polyfill":"7.0.0-beta.36","axios":"^0.17.1","bluebird":"^3.5.1","cwise":"^1.0.10","eventemitter3":"^3.0.0","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-resample":"^1.0.1","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","performance-now":"^2.1.0","protobufjs":"^6.8.3"},"devDependencies":{"@babel/cli":"7.0.0-beta.36","@babel/core":"7.0.0-beta.36","@babel/plugin-proposal-class-properties":"7.0.0-beta.36","@babel/plugin-proposal-object-rest-spread":"7.0.0-beta.36","@babel/preset-env":"7.0.0-beta.36","babel-eslint":"^8.1.2","babel-loader":"8.0.0-beta.0","babel-plugin-inline-import":"^2.0.6","babel-plugin-lodash":"^3.3.2","blueimp-load-image":"^2.17.1","chroma-js":"^1.3.5","css-loader":"^0.28.7","eslint":"^4.14.0","eslint-loader":"^1.9.0","eslint-plugin-html":"^4.0.1","http-server":"^0.10.0","postcss-cssnext":"^3.0.2","postcss-import":"^11.0.0","postcss-loader":"^2.0.9","style-loader":"^0.19.1","vue":"^2.5.13","vue-loader":"^13.6.2","vue-router":"^3.0.1","vue-template-compiler":"^2.5.13","vuetify":"^0.17.6","webpack":"^3.10.0"},"gitHead":"82ec022a7f32c0c3cf52720e8d80b3d60a176285","_id":"keras-js@1.0.1","_npmVersion":"5.5.1","_nodeVersion":"9.3.0","_npmUser":{"name":"transcranial","email":"leon@md.ai"},"dist":{"integrity":"sha512-F9axHn8idkb7kPEwjIfstTFrAoG8HqI/7A31K9x4Le7Q8/CpU6ShJUuXCy1+N4QKhIlPxOXKjBqNGwjIF7RT/w==","shasum":"6abcfc3c7349965a84dcc1140a198039ddeb49f4","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-1.0.1.tgz","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEUCIECMahb8Id6IozcMJRQUNQAVzr3ffzl9VJGUi1MGfPEyAiEA0ntsR9+6SbJtJr+3hwTayqvo/7nMx5jc+uLJR3jRLMM="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/keras-js-1.0.1.tgz_1514919764905_0.3492612401023507"},"directories":{}},"1.0.2":{"name":"keras-js","version":"1.0.2","description":"Run Keras models in the browser, with GPU support using WebGL","main":"lib/index.js","unpkg":"dist/keras.min.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; NODE_ENV=production BABEL_ENV=node babel src --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","proto2js":"pbjs --target static-module --wrap es6 proto/model.proto > src/proto.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","neural","networks","javascript","webgl","webgl2","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"@babel/polyfill":"7.0.0-beta.36","axios":"^0.17.1","bluebird":"^3.5.1","cwise":"^1.0.10","eventemitter3":"^3.0.0","lodash":"^4.17.4","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-resample":"^1.0.1","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","performance-now":"^2.1.0","protobufjs":"^6.8.3"},"devDependencies":{"@babel/cli":"7.0.0-beta.36","@babel/core":"7.0.0-beta.36","@babel/plugin-proposal-class-properties":"7.0.0-beta.36","@babel/plugin-proposal-object-rest-spread":"7.0.0-beta.36","@babel/preset-env":"7.0.0-beta.36","babel-eslint":"^8.1.2","babel-loader":"8.0.0-beta.0","babel-plugin-inline-import":"^2.0.6","babel-plugin-lodash":"^3.3.2","blueimp-load-image":"^2.17.1","chroma-js":"^1.3.5","css-loader":"^0.28.7","eslint":"^4.14.0","eslint-loader":"^1.9.0","eslint-plugin-html":"^4.0.1","http-server":"^0.10.0","postcss-cssnext":"^3.0.2","postcss-import":"^11.0.0","postcss-loader":"^2.0.9","style-loader":"^0.19.1","vue":"^2.5.13","vue-loader":"^13.6.2","vue-router":"^3.0.1","vue-template-compiler":"^2.5.13","vuetify":"^0.17.6","webpack":"^3.10.0"},"gitHead":"f5d3d14767749785f037af1920083789031f1648","_id":"keras-js@1.0.2","_npmVersion":"5.5.1","_nodeVersion":"9.3.0","_npmUser":{"name":"transcranial","email":"leon@md.ai"},"dist":{"integrity":"sha512-QVR6jUkaZCukMX0g+LWNFt+oHyhyJXaWz16KHODVU7AO6SQNYEZY0WzAOC75F3C8yAREe/THwhK8IYHTDB2YQA==","shasum":"3149fe86849217f5f9ff21475d2738ef7968bf3a","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-1.0.2.tgz","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEUCIQCQYg4XKonQs/aH43fsFY7tzZRKBWZeFAQhAGSZ543J1AIgFLOqKAkecQKet6dnKRd5g1qcfyF6vWrJtyhSmA5W3yY="}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/keras-js-1.0.2.tgz_1515128239115_0.8432160490192473"},"directories":{}},"1.0.3":{"name":"keras-js","version":"1.0.3","description":"Run Keras models in the browser, with GPU support using WebGL","main":"lib/index.js","unpkg":"dist/keras.min.js","scripts":{"watch":"NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","build:browser":"rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","build:node":"rm -rf lib; NODE_ENV=production BABEL_ENV=node babel src --out-dir lib","build":"npm run build:browser && npm run build:node","server":"http-server . -c-1 -p 3000","demos:watch":"cd demos; NODE_ENV=development BABEL_ENV=browser webpack --watch --config webpack.config.js","demos:build":"cd demos; rm -rf dist; NODE_ENV=production BABEL_ENV=browser webpack --config webpack.config.js","proto2js":"pbjs --target static-module --wrap es6 proto/model.proto > src/proto.js"},"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"keywords":["keras","deep","learning","neural","networks","javascript","webgl","webgl2","gpu"],"author":{"name":"Leon Chen","email":"leon@md.ai"},"license":"MIT","bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"homepage":"https://github.com/transcranial/keras-js#readme","dependencies":{"@babel/polyfill":"7.0.0-beta.39","axios":"^0.17.1","bluebird":"^3.5.1","cwise":"^1.0.10","eventemitter3":"^3.0.1","lodash":"^4.17.5","ndarray":"^1.0.18","ndarray-blas-level2":"^1.1.0","ndarray-concat-rows":"^1.0.1","ndarray-gemm":"^1.0.0","ndarray-ops":"^1.2.2","ndarray-resample":"^1.0.1","ndarray-squeeze":"^1.0.2","ndarray-tile":"^1.0.3","ndarray-unpack":"^1.0.0","ndarray-unsqueeze":"^1.0.3","performance-now":"^2.1.0","protobufjs":"^6.8.4"},"devDependencies":{"@babel/cli":"7.0.0-beta.39","@babel/core":"7.0.0-beta.39","@babel/plugin-proposal-class-properties":"7.0.0-beta.39","@babel/plugin-proposal-object-rest-spread":"7.0.0-beta.39","@babel/preset-env":"7.0.0-beta.39","babel-eslint":"^8.2.1","babel-loader":"8.0.0-beta.0","babel-plugin-inline-import":"^2.0.6","babel-plugin-lodash":"^3.3.2","blueimp-load-image":"^2.18.0","chroma-js":"^1.3.6","css-loader":"^0.28.9","eslint":"^4.17.0","eslint-loader":"^1.9.0","eslint-plugin-html":"^4.0.2","http-server":"^0.11.1","postcss-cssnext":"^3.1.0","postcss-import":"^11.0.0","postcss-loader":"^2.1.0","style-loader":"^0.20.1","vue":"^2.5.13","vue-loader":"^14.1.1","vue-router":"^3.0.1","vue-template-compiler":"^2.5.13","vuetify":"^0.17.7","webpack":"^3.10.0"},"gitHead":"ecd6875ee69b05e0bd4bf099a607428834218bc7","_id":"keras-js@1.0.3","_npmVersion":"5.5.1","_nodeVersion":"9.3.0","_npmUser":{"name":"transcranial","email":"leon@md.ai"},"dist":{"integrity":"sha512-aHWYUkdTMSuDMQNXajPVZIcHNunyat92JIT8h4X/aljPfP93wf1tQ/dY0W2s4l3CCfAExc0C37ph5Bi6Ij84uw==","shasum":"8cb479b8ab0d4780b063017a3ca09f132b0ce719","tarball":"https://registry.npmjs.org/keras-js/-/keras-js-1.0.3.tgz","fileCount":116,"unpackedSize":1131925,"signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEYCIQDnVVSWHu3y9otCLD5bpxJSl0KEke01Gx3J5v/zVNSq7gIhAJ78+UNBg972jJGyL0lEpaXmH1LrD9kjsQcxUfahOWfM"}]},"maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"directories":{},"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/keras-js_1.0.3_1518188411153_0.6338221500111674"},"_hasShrinkwrap":false}},"readme":"

\n \n \n \n

\n\n

\n Run Keras models in the browser, with GPU support using WebGL\n

\n\n
\n

\n Interactive Demos\n | \n Documentation\n

\n
\n\n

\n \n \n \n \n \n \n

\n\n
\n\n---\n\nRun [Keras](https://github.com/keras-team/keras) models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc.\n\nLibrary version compatibility: Keras 2.1.2\n\n## [Interactive Demos](https://transcranial.github.io/keras-js)\n\n

\n \n \n \n \n

\n\nCheck out the `demos/` directory for real examples running Keras.js in VueJS.\n\n* Basic Convnet for MNIST\n* Convolutional Variational Autoencoder, trained on MNIST\n* Auxiliary Classifier Generative Adversarial Networks (AC-GAN) on MNIST\n* 50-layer Residual Network, trained on ImageNet\n* Inception v3, trained on ImageNet\n* DenseNet-121, trained on ImageNet\n* SqueezeNet v1.1, trained on ImageNet\n* Bidirectional LSTM for IMDB sentiment classification\n\n## [Documentation](https://transcranial.github.io/keras-js-docs)\n\n[MIT License](https://github.com/transcranial/keras-js/blob/master/LICENSE)\n","maintainers":[{"name":"transcranial","email":"lchen3@gmail.com"}],"time":{"modified":"2022-06-19T08:24:14.748Z","created":"2017-02-23T06:16:05.260Z","0.1.0":"2017-02-23T06:16:05.260Z","0.2.0":"2017-05-19T03:11:10.925Z","0.3.0":"2017-05-20T19:37:03.517Z","1.0.0":"2018-01-02T18:43:16.326Z","1.0.1":"2018-01-02T19:02:46.291Z","1.0.2":"2018-01-05T04:57:20.482Z","1.0.3":"2018-02-09T15:00:13.128Z"},"homepage":"https://github.com/transcranial/keras-js#readme","keywords":["keras","deep","learning","neural","networks","javascript","webgl","webgl2","gpu"],"repository":{"type":"git","url":"git+https://github.com/transcranial/keras-js.git"},"author":{"name":"Leon Chen","email":"leon@md.ai"},"bugs":{"url":"https://github.com/transcranial/keras-js/issues"},"license":"MIT","readmeFilename":"README.md","users":{"lagora":true}}