Stars
All Algorithms implemented in Python
Command-line program to download videos from YouTube.com and other video sites
Models and examples built with TensorFlow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Code samples for my book "Neural Networks and Deep Learning"
Train transformer language models with reinforcement learning.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Python Implementation of Reinforcement Learning: An Introduction
Ongoing research training transformer models at scale
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Advanced Python Mastery (course by @dabeaz)
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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)
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Perform data science on data that remains in someone else's server
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A Collection of Variational Autoencoders (VAE) in PyTorch.
PyTorch implementations of deep reinforcement learning algorithms and environments
Voilà turns Jupyter notebooks into standalone web applications