janhuenermann/neurojs
janhuenermann/neurojs has 4,365 GitHub stars and 360 forks. GitHot measured 0 stars in 24 hours, -1 in 7 days, and -2 in 15 days. Last checked 2026-11-13 07:54 UTC. Last push 2023-10-10.
一个用于深度学习和强化学习的 JavaScript 库。
可以做什么
- Implements a full-stack neural-network based machine learning framework
- Uniform and prioritised replay buffers
- Advantage-learning (increasing the action-gap) https://arxiv.org/pdf/1512.04860v1.pdf
- Support for deep-q-networks and actor-critic models (via deep-deterministic-policy-gradients)
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各周期内的星标净变化，周期相互重叠，并非每日新增。缺失的测量保持空白。星标代表关注度，不代表软件质量。
README.md
原文
neurojs
neurojs is a JavaScript framework for deep learning in the browser. It mainly focuses on reinforcement learning, but can be used for any neural network based task. It contains neat demos to visualise these capabilities, for instance a 2D self-driving car.
Feel free to contribute. The development on such projects is more awesome in a community!
Note: this repo is no longer maintained since more general frameworks such as TensorFlow-JS emerged, which I recommend you to use.
Features
- Implements a full-stack neural-network based machine learning framework
- Extended reinforcement-learning support
- Uniform and prioritised replay buffers
- Advantage-learning (increasing the action-gap) https://arxiv.org/pdf/1512.04860v1.pdf
- Support for deep-q-networks and actor-critic models (via deep-deterministic-policy-gradients)
- Binary import and export of network configurations (weights etc.)
- High-performance
Examples
- Self-driving car
- Advanced XOR
- Andrej Karpathy's Waterworld (ConvNetJS replaced with NeuroJS)
Running the examples
npm install
npm start
Open http://localhost:8080/examples/ in your browser and select the demo you want to run.
What's next?
- More examples (pong, pendulum, snake,improved cars, etc.)
- Support for web workers
- LSTM and backpropagation through time