Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
664 results
A Gym-like environment for Reinforcement Learning in Rocket League
这是我的强化学习笔记
[ECCV 2026] Official code of “MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning”
State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Neural network learns to play snake in a terminal, built in Rust with Ratatui
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
A long term short term memory recurrent neural network to predict forex data time series
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
Graph Neural Networks for Decentralized Path Planning
🥕 Evolutionary Neural Networks in JavaScript
Tutorial for surrogate gradient learning in spiking neural networks
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
A Graph Neural Network project on HIV data
This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
A Go A.I. based on MCTS WITHOUT Neural Networks
code of paper `Deep Neural Networks for Youtube Recommendation`
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Gated Graph Sequence Neural Networks
neural networks to learn Koopman eigenfunctions
24,545 repositories in the index in total.
