https://github.com/blinkdl/blinkdl
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (4.7%) to scientific vocabulary
Keywords
alphago
deep-learning
deep-neural-networks
deeplearning
neural-network
neural-networks
Last synced: 5 months ago
·
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Repository
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Basic Info
Statistics
- Stars: 84
- Watchers: 8
- Forks: 19
- Open Issues: 1
- Releases: 0
Topics
alphago
deep-learning
deep-neural-networks
deeplearning
neural-network
neural-networks
Created over 8 years ago
· Last pushed over 8 years ago
Metadata Files
Readme
License
README.md
BlinkDL
A minimalist deep learning library in Javascript using WebGL + asm.js. Runs in your browser.
Currently it is a proof-of-concept (inference only). Note: Convolution is buggy when memories overlap.
The WebGL backend is powered by weblas: https://github.com/waylonflinn/weblas.
Example
https://withablink.coding.me/goPolicyNet/ : a weiqi (baduk, go) policy network in AlphaGo style:
const N = 19;
const NN = N * N;
const nFeaturePlane = 8;
const nFilter = 128;
const x = new BlinkArray();
x.Init('weblas');
x.nChannel = nFeaturePlane;
x.data = new Float32Array(nFeaturePlane * NN);
for (var i = 0; i < NN; i++)
x.data[5 * NN + i] = 1; // set feature plane for empty board
// pre-act residual network with 6 residual blocks
const bak = new Float32Array(nFilter * NN);
x.Convolution(nFilter, 3);
x.CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak).CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak).CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak).CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak).CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak).CopyTo(bak);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.BatchNorm().ReLU().Convolution(nFilter, 3);
x.Add(bak);
x.BatchNorm().ReLU().Convolution(1, 1).Softmax();
Usage
<script src='weblas.js' type='text/javascript'></script>
<script src='BlinkDL.js' type='text/javascript'></script>
Todo
- [x] Convolution (3x3pad1 and 1x1), BatchNorm, ReLU, Softmax
- [ ] Pooling layer
- [ ] FC layer
- [ ] Strided convolution
- [ ] Transposed convolution
- [ ] Webworker and async
- [ ] Faster inference with weblas pipeline, WebGPU, WebAssembly
- [ ] Memory manager
- [ ] Training
Owner
- Name: PENG Bo
- Login: BlinkDL
- Kind: user
- Website: https://rwkv.com/
- Twitter: BlinkDL_AI
- Repositories: 7
- Profile: https://github.com/BlinkDL
RWKV is all you need
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- BlinkDL (1)