mashijie1028

mashijie1028's Stars

• huggingface/transformers

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

  Language:Python138k1.1k16.5k27.5k

• coder/code-server

  VS Code in the browser

  Language:TypeScript69.3k7303.6k5.7k

• microsoft/DeepSpeed

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

  Language:Python36.2k3482.9k4.2k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python35.2k1785.2k2.7k

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python20.5k1421k711

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python19.4k16601.4k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.8k815061k

• kohya-ss/sd-scripts

  Language:Python5.6k561.2k910

• ostris/ai-toolkit

  Various AI scripts. Mostly Stable Diffusion stuff.

  Language:Python3.8k52196426

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.7k12510229

• baaivision/Emu3

  Next-Token Prediction is All You Need

  Language:Python2k325577

• XLabs-AI/x-flux

  Language:Python1.8k29123128

• Stability-AI/sd3.5

  Language:Python879122163

• TencentARC/Open-MAGVIT2

  Open-MAGVIT2: Democratizing Autoregressive Visual Generation

  Language:Python712203929

• LAION-AI/CLIP_benchmark

  CLIP-like model evaluation

  Language:Jupyter Notebook647126580

• TencentARC/LLaMA-Pro

  [ACL 2024] Progressive LLaMA with Block Expansion.

  Language:Python491203336

• AILab-CVC/SEED-X

  Multimodal Models in Real World

  Language:Jupyter Notebook427183019

• AILab-CVC/SEED-Bench

  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.

  Language:Python32442913

• Atomic-man007/Awesome_Multimodel_LLM

  Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

  2858119

• baaivision/DIVA

  Diffusion Feedback Helps CLIP See Better

  Language:Python24281012

• SHI-Labs/CuMo

  CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

  Language:Python1382139

• Hsu1023/DuQuant

  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.

  Language:Python1372169

• Understanding-Visual-Datasets/VisDiff

  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)

  Language:Jupyter Notebook1122514

• TencentARC/mllm-npu

  mllm-npu: training multimodal large language models on Ascend NPUs

  Language:Python89542

• dongzhuoyao/Diffusion-Representation-Learning-Survey-Taxonomy

  67300

• Baijiong-Lin/LoRA-Torch

  PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention)

  Language:Python49273

• mashijie1028/Happy-CGCD

  Official code for NeurIPS 2024 paper "Happy: A Debiased Learning Framework for Continual Generalized Category Discovery"

  Language:Python301

• KyanChen/MakeMultiHeadNaive

  Use naive MultiheadAttention implement to replace nn.MultiheadAttention in pytorch

  Language:Python29222

• mashijie1028/TrustDD

  Code for our paper "Towards Trustworthy Dataset Distillation" (Pattern Recognition 2025)

  Language:Python1100

• mashijie1028/UCAS-CASIA-Beamer-Theme

  Beamer template for UCAS and CASIA.

  Language:TeX1100