Lists (5)
Stars
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
PlayGround: AI Research into Multi-Agent Learning.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
Train transformer language models with reinforcement learning.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Tennis analysis using deep learning and machine learning
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019