lifrary

lifrary's Stars

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook62.3k53011832k

• facebookresearch/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.

  Language:Jupyter Notebook47k3056625.6k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34k7521.3k7.8k

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python17.8k1124731.7k

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python14.4k1301361k

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python12.1k1083401.3k

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  5.8k26653332

• lllyasviel/IC-Light

  More relighting!

  Language:Python4.9k4780333

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4.4k40434434

• lllyasviel/Paints-UNDO

  Understand Human Behavior to Align True Needs

  Language:Python3.3k1657292

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.3k2391109

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.2k3684129

• PixArt-alpha/PixArt-sigma

  PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

  Language:Python1.6k3911777

• luca-medeiros/lang-segment-anything

  SAM with text prompt

  Language:Jupyter Notebook1.6k1052169

• apple/ml-4m

  4M: Massively Multimodal Masked Modeling

  Language:Python1.6k302190

• SHI-Labs/OneFormer

  OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

  Language:Jupyter Notebook1.5k20113129

• XLabs-AI/x-flux

  Language:Python1.4k27100102

• HarborYuan/ovsam

  [ECCV 2024] The official code of paper "Open-Vocabulary SAM".

  Language:Python914134427

• dangeng/visual_anagrams

  Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

  Language:Jupyter Notebook85191378

• IDEA-Research/Grounded-SAM-2

  Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

  Language:Jupyter Notebook82284364

• IDEA-Research/OpenSeeD

  [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

  Language:Python641213739

• showlab/DragAnything

  [ECCV 2024] DragAnything: Motion Control for Anything using Entity Representation

  Language:Python409162413

• Qinying-Liu/Awesome-Open-Vocabulary-Semantic-Segmentation

  A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

  40016416

• UX-Decoder/DINOv

  [CVPR 2024] Official implementation of the paper "Visual In-context Learning"

  Language:Python369153217

• segments-ai/panoptic-segment-anything

  Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

  Language:Jupyter Notebook3677524

• google/RB-Modulation

  Official code for "RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control"

  Language:Jupyter Notebook32310827

• instantX-research/CSGO

  CSGO: Content-Style Composition in Text-to-Image Generation 🔥

  Language:Jupyter Notebook22718115

• linzhiqiu/t2v_metrics

  Evaluating text-to-image/video/3D models with VQAScore

  Language:Python18616916

• liuff19/Physics3D

  Official implementation of Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

  Language:Python139336

• learn2phoenix/CSD

  Language:Python104487