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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cpl

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

cudasteps

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

deeplearningsystem

Deep Learning System core principles introduction.

deepspeed

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

docker-pytorch

A Docker image for PyTorch

fastertransformer

Transformer related optimization, including BERT, GPT

generative-models

Generative Models by Stability AI

grit

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

groundingdino

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

jcar-competition

Kinova robot grasp for JCAR Competition

lavis

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

llama-adapter

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

llmsurvey

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

megatron-deepspeed

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

ru-dalle

Generate images from texts. In Russian

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

segment-anything

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.

shikra

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

transformers

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

tuning_playbook

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

xtuner

XTuner is a toolkit for efficiently fine-tuning LLM