addypy

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Advanced-Soft-Actor-Critic

Soft Actor-Critic with advanced features

RLcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

PPO-for-Beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-flows

PyTorch implementations of algorithms for density estimation

OSRL

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

sac

Soft Actor-Critic

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Vary

[ECCV2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.

PowerInfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

Popular-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

awesome-deep-rl

For deep RL and the future of AI.

polis

:milky_way: Open Source AI for large scale open ended feedback

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

ToolBench

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

functionary

Chat language model that can use tools and interpret the results

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

gpt-automated-web-scraper

The GPT-based Universal Web Scraper MVP is a solution that leverages GPT models and web scraping libraries to generate scraper code based on user input and website analysis, simplifying the web scraping process.

reinforcement-learning

Collection of reinforcement learning algorithms implementations with TensorFlow2

multimodal-maestro

Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥

examples

Example deep learning projects that use wandb's features.

moving_mnist

Exploring Moving Mnist dataset with forecasting algorithms

SA-ConvLSTM-Pytorch

Pytorch implementation of Self-Attention ConvLSTM

skorch

A scikit-learn compatible neural network library that wraps PyTorch

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

netron

Visualizer for neural network, deep learning and machine learning models

ConvLSTM