sean-xr

sean-xr's Stars

• WalBouss/LeGrad

  Language:Python605

• deepglint/ALIP

  [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption

  Language:Python907

• hammoudhasan/SynthCLIP

  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.

  Language:Python871

• fwalch/tum-thesis-latex

  :notebook_with_decorative_cover: A LaTeX template for TUM Bachelor/Master theses.

  Language:TeX440242

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook792107

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k240

• lucidrains/transfusion-pytorch

  Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

  Language:Python64623

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.9k4.7k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.7k1k

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• OpenGVLab/InternVL

  [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

  Language:Python5.8k452

• webdataset/webdataset

  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  Language:Python2.3k181

• ylaxor/clip-like

  Train (fine-tune) OpenAI's CLIP-like models on custom image-caption data sets, cf. COCO dataset. PyTorch implementation.

  Language:Jupyter Notebook185

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.3k761

• facebookresearch/SLIP

  Code release for SLIP Self-supervision meets Language-Image Pre-training

  Language:Python74367

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2k34

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.1k968

• dongliangcao/Unsupervised-Learning-of-Robust-Spectral-Shape-Matching

  SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching

  Language:Python4910

• Pointcept/GPT4Point

  [CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

  Language:Python32220

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.5k553

• niladridutt/Diffusion-3D-Features

  Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features [CVPR 2024]

  Language:Python5910

• developer0hye/PyTorch-Deformable-Convolution-v2

  Don't feel pain to use Deformable Convolution

  Language:Jupyter Notebook32531

• OutofAi/2D-Gaussian-Splatting

  A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

  Language:Jupyter Notebook38117

• tsunghan-wu/SLD

  🔥 [CVPR2024] Official implementation of "Self-correcting LLM-controlled Diffusion Models (SLD)

  Language:Python1526

• wimmerth/back-to-3d-few-shot-keypoints

  Repository of the CVPR paper "Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected Features".

  Language:Python101

• gviga/AB-ZoomOut

  Language:Python1

• szacho/pointcam

  Self-supervised adversarial masking for point clouds

  Language:Python111

• muse1998/Source-Free-Domain-Generalization

  An open-world scenario domain generalization code base

  Language:Python241

• nstucki/Betti-matching

  Language:Python443

• Colin97/OpenShape_code

  official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

  Language:Python23916