XTuner is a toolkit for efficiently fine-tuning LLM

Ongoing research training transformer language models at scale, including: BERT & GPT-2

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Transformer related optimization, including BERT, GPT

Deep Learning System core principles introduction.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

The official GitHub page for the survey paper "A Survey of Large Language Models".

High-Resolution Image Synthesis with Latent Diffusion Models

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A playbook for systematically maximizing the performance of deep learning models.

Scenic: A Jax Library for Computer Vision Research and Beyond

Generative Models by Stability AI

LAVIS - A One-stop Library for Language-Vision Intelligence

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

CPL: Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning

Generate images from texts. In Russian

GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

A Docker image for PyTorch