shivanimall

shivanimall's Stars

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1151061.5k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.5k127800811

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k24819829

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook4k34107265

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.5k1386515

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.9k51154344

• locuslab/convmixer

  Implementation of ConvMixer for "Patches Are All You Need? 🤷"

  Language:Python1.1k1416102

• google-research/meta-dataset

  A dataset of datasets for learning to learn from few examples

  Language:Jupyter Notebook7662396139

• gidariss/FewShotWithoutForgetting

  Language:Python5191629110

• Stomach-ache/awesome-long-tail-learning

  46818736

• RaivoKoot/Video-Dataset-Loading-Pytorch

  Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

  Language:Python45551244

• happyharrycn/actionformer_release

  Code release for ActionFormer (ECCV 2022)

  Language:Python4511013881

• DmitryRyumin/CVPR-2023-24-Papers

  CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

  Language:Python43410029

• movienet/movienet-tools

  Tools for movie and video research

  Language:C++281114032

• zqs1022/interpretableCNN

  Language:MATLAB2238852

• CrypticSignal/video-quality-metrics

  Uses FFmpeg to benchmark video encoders to compare VMAF/SSIM/PSNR with different encoder settings.

  Language:Python12252319

• whwu95/ATM

  【ICCV'2023】What Can Simple Arithmetic Operations Do for Temporal Modeling?

  Language:Python75845

• ada-shen/ICNN

  A pytorch implementation of interpretable convolutional neural network.

  Language:Python6451520

• jiequancui/ResLT

  ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

  Language:Python594115

• alinlab/SelfPatch

  Language:Python58287

• imjal/MetaPix

  MetaPix: Few-Shot Video Retargeting

  Language:Python48427

• lovelyqian/AMeFu-Net

  Repository for the paper "Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition"

  Language:Python452123

• MadryLab/failure-directions

  Distilling Model Failures as Directions in Latent Space

  Language:Jupyter Notebook45425

• alibaba-mmai-research/MoLo

  Code for our CVPR 2023 paper "MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition".

  Language:Python42369

• antoine77340/RareAct

  RareAct: A video dataset of unusual interactions

  Language:Python32633

• fmeier/online-meta-learning

  Language:Python26707

• June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch

  This is the pytorch version of tcc loss, used in paper 'Temporal Cycle-Consistency Learning'.

  Language:Python26301

• oakdata/benchmark

  Language:Python15414

• renyi-ai/drfrankenstein

  Language:Python15401

• Andrew-Brown1/Automated_Face_Tracking_and_Labelling

  Code for the paper "Automated Video Labelling: Identifying Faces by Corroborative Evidence"

  Language:Python8151