SlongLiu

SlongLiu's Stars

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.8k9901903.5k

• linexjlin/GPTs

  leaked prompts of GPTs

  29k312273.9k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.9k2593112.8k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.2k1221.1k2k

• OpenRA/OpenRA

  Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.

  Language:C#14.8k3809.2k2.7k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k995781.2k

• openai/triton

  Development repository for the Triton language and compiler

  Language:C++11.2k1791.2k1.3k

• pwxcoo/chinese-xinhua

  :orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

  Language:Python11k307602.6k

• guoyww/AnimateDiff

  Official implementation of AnimateDiff.

  Language:Python10.8k101369877

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.5k771.5k2.2k

• leptonai/search_with_lepton

  Building a quick conversation-based search demo with Lepton AI.

  Language:TypeScript7.9k55671k

• 01-ai/Yi

  A series of large language models trained from scratch by developers @01-ai

  Language:Jupyter Notebook7.8k107290486

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python6.7k61775608

• imoneoi/openchat

  OpenChat: Advancing Open-source Language Models with Imperfect Data

  Language:Python5.3k50188401

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.6k7184347

• tyxsspa/AnyText

  Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>

  Language:Python4.4k53136285

• openimages/dataset

  The Open Images dataset

  Language:Python4.3k20589603

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.1k47197560

• Doubiiu/DynamiCrafter

  [ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

  Language:Python2.7k32141217

• hustvl/4DGaussians

  [CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

  Language:Jupyter Notebook2.3k32196196

• deepseek-ai/DreamCraft3D

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

  Language:Python2.1k1216591

• peteanderson80/bottom-up-attention

  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

  Language:Jupyter Notebook1.4k26117378

• FoundationVision/GLEE

  [CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

  Language:Python1.1k484886

• OpenGVLab/DCNv4

  [CVPR 2024] Deformable Convolution v4

  Language:Python54489229

• longzw1997/Open-GroundingDino

  This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

  Language:Python48458778

• FlagOpen/FlagAttention

  A collection of memory efficient attention operators implemented in the Triton language.

  Language:Python2277316

• xk-huang/segment-caption-anything

  [CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloading the trained model checkpoints, and example notebooks / gradio demo that show how to use the model.

  Language:Python2087178

• AILab-CVC/M2PT

  [CVPR'24] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

  Language:Python97824

• huzhengdongcs/DAC-DETR

  [NIPS2023] This is an official implementation of paper "DAC-DETR: Divide the Attention Layers and Conquer".

  Language:Python54151

• MaureenZOU/ICLR_Playground

  Language:Python8100