yunqing-me

mhal-detect

M-HalDetect Dataset Release

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

SeaLLMs

[ACL 2024 Demo] SeaLLMs - Large Language Models for Southeast Asia

MMCBench

invisible-watermark

python library for invisible image watermark (blind image watermark)

generative-models

Generative Models by Stability AI

ml-aim

This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models

finetune-fair-diffusion

Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

DeepSpeed

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

bubogpt

BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

instruct-pix2pix

Emu

Emu Series: Generative Multimodal Models from BAAI

DreamCraft3D

[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

SEED

Official implementation of SEED-LLaMA (ICLR 2024).

rcg

PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

ToMe

A method to increase the speed and lower the memory footprint of existing vision transformers.

autofd

Automatic Functional Differentiation in JAX

Woodpecker

✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.

Chat-UniVi

[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

LVM

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

magvit2-pytorch

Implementation of MagViT2 Tokenizer in Pytorch

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities