vistapath-dan

vistapath-dan's Stars

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python15k1.4k

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.4k602

• samb-t/unleashing-transformers

  Code for the ECCV 2022 paper "Unleashing Transformers"

  Language:Python18223

• 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 Notebook48.4k5.7k

• samb-t/infty-diff

  Code for the the ICLR 2024 paper "∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States"

  Language:Python964

• ziqihuangg/ReVersion

  [SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images

  Language:Python49719

• Zasder3/train-CLIP

  A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

  Language:Python67479

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2.1k262

• sail-sg/MDT

  Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

  Language:Python54140

• Amshaker/SwiftFormer

  [ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

  Language:Python26329

• ZwwWayne/K-Net

  [NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

  Language:Python46946

• hujiecpp/YOSO

  Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]

  Language:Python25921

• AruniRC/crf-motion-seg

  This repo contains Python scripts to apply a Dense CRF to refine outputs from a motion segmentation algorithm.

  Language:Jupyter Notebook112

• timojl/clipseg

  This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

  Language:Python1.2k112

• chenfei-wu/TaskMatrix

  Language:Python34.5k3.3k

• ChenyangQiQi/FateZero

  [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"

  Language:Jupyter Notebook1.1k106

• fudan-zvg/GSS

  [CVPR 2023] Official repository of Generative Semantic Segmentation

  Language:Python21013

• lucidrains/lion-pytorch

  🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

  Language:Python2.1k52

• xiaoyufenfei/Efficient-Segmentation-Networks

  Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

  Language:Python933164

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k269

• facebookresearch/dropout

  Code release for "Dropout Reduces Underfitting"

  Language:Python31216

• mbanani/lgssl

  [CVPR 2023] Learning Visual Representations via Language-Guided Sampling

  Language:Python1469

• ma-xu/Context-Cluster

  [ICLR 2023 Oral] Image as Set of Points

  Language:Python54840

• wl-zhao/VPD

  [ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

  Language:Jupyter Notebook51931

• ali-vilab/composer

  Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"

  1.5k48

• 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 Notebook1.8k242

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4.2k581

• zhangzjn/EMO

  [ICCV 2023] Official PyTorch implementation of "Rethinking Mobile Block for Efficient Attention-based Models"

  Language:Jupyter Notebook23617

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k2.3k

• nmwsharp/diffusion-net

  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

  Language:Python42356