Stars
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
The universal visitation law of human mobility (Nature)
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Arxiv Sanity with novel paper search
Text summarization using seq2seq in Keras
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Sequence to Sequence Learning with Keras
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Hyperparameter Experiments with TensorFlow and Keras
Graph Neural Network Library for PyTorch
A set of scripts to grab public datasets from resources related to arXiv
Attempting to make the Deep Learning Book easier to understand.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Implementation of Multi-Agent Deep Deterministic Policy Gradients
A toolkit for developing and comparing reinforcement learning algorithms.
Minimal and Clean Reinforcement Learning Examples
Keras Implementation of PPO to solve OpenAI Gym Environments
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games