fmu2

fmu2's Stars

• 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 Notebook47.4k3066675.6k

• psf/black

  The uncompromising Python code formatter

  Language:Python38.9k2282.6k2.5k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python28.3k2356763.6k

• openai/point-e

  Point cloud diffusion for 3D model synthesis

  Language:Python6.5k22187757

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.2k4480557

• openai/guided-diffusion

  Language:Python6.2k140140821

• HazyResearch/flash-attention

  Fast and memory-efficient exact attention

  Language:Python4.3k71268365

• facebookresearch/deit

  Official DeiT repository

  Language:Python4k48197556

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.2k123133486

• chaofengc/IQA-PyTorch

  👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

  Language:Python1.9k16168172

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.7k1759316

• OpenGVLab/InternVideo

  [ECCV2024] Video Foundation Models & Data for Multimodal Understanding

  Language:Python1.4k2818485

• NVlabs/edm

  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

  Language:Python1.4k2926143

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.2k3743179

• GaParmar/clean-fid

  PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

  Language:Python96294973

• phizaz/diffae

  Official implementation of Diffusion Autoencoders

  Language:Jupyter Notebook860881129

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python653182664

• ptrblck/pytorch_misc

  Code snippets created for the PyTorch discussion board

  Language:Python543171164

• sarafridov/K-Planes

  Language:Python48474946

• hongyi-zhang/mixup

  Implementation of the mixup training method

  Language:Python4647881

• wzhouxiff/RestoreFormer

  [CVPR 2022] RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs

  Language:Python33392835

• jayleicn/moment_detr

  [NeurIPS 2021] Moment-DETR code and QVHighlights dataset

  Language:Python268105944

• timothybrooks/unprocessing

  Language:Python18931049

• LisaAnne/LocalizingMoments

  Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"

  Language:OpenEdge ABL187112144

• samb-t/unleashing-transformers

  Code for the ECCV 2022 paper "Unleashing Transformers"

  Language:Python18171422

• alsdudrla10/DG

  Official repo for Discriminator Guidance.

  Language:Python15481013

• Soldelli/MAD

  MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions

  Language:Python1499163

• sczhou/Awesome-Face-Restoration

  A curated list of face restoration & enhancement papers and resources

  Language:TeX13911217

• NNNNAI/Ego4d_NLQ_2022_1st_Place_Solution

  The 1st place solution of 2022 Ego4d Natural Language Queries.

  Language:Python32220

• epic-kitchens/epic-kitchens-slowfast

  Language:Python2841215