Lists (10)
Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Models and examples built with TensorFlow
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
deep learning for image processing including classification and object-detection etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Graph Neural Network Library for PyTorch
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
State-of-the-Art Text Embeddings
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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 package built to ease deep learning on graph, on top of existing DL frameworks.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The official GitHub page for the survey paper "A Survey of Large Language Models".
An educational resource to help anyone learn deep reinforcement learning.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch