KathPra

KathPra's Stars

• CVRL/Reddit_Provenance_Datasets

  Sets of Image Provenance cases, including node and edge information, generated automatically using Reddit Photoshop Battles

  Language:Python141

• encord-team/encord-active

  The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

  Language:Python43525

• voxel51/fiftyone-plugins

  A curated list of plugins that you can add to your FiftyOne install!

  Language:Python10115

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.8k557

• nicolas-hbt/pygraft

  Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

  Language:Python66744

• TejaswiniMedi/FullFormer

  This is official repository of FullFormer paper

  Language:Python11

• facebookresearch/assemblyhands-toolkit

  AssemblyHands Toolkit is a Python package that provides data loader, visualization, and evaluation tools for the AssemblyHands dataset (CVPR 2023).

  Language:Python995

• Link-Li/CLMLF

  Language:Python708

• boschresearch/ISSA

  Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023 & IJCV)

  Language:Python344

• ZhouYuxuanYX/BlockGCN

  This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"

  Language:Python669

• ZhouYuxuanYX/Hyperformer

  This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."

  Language:Python8114

• boschresearch/hierarchical_anomaly_detection

  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

  Language:Python424

• ZhouYuxuanYX/SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers

  This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"

  Language:Python12

• ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-

  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data

  Language:Python11834

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.7k197

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.5k337

• skelemoa/ntu-x

  NTU-X, which is an extended version of popular NTU dataset

  Language:Python8113

• FreddeFrallan/Multilingual-CLIP

  OpenAI CLIP text encoders for multiple languages!

  Language:Jupyter Notebook75972

• guiggh/hand_pose_action

  Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.

  Language:Python25731

• GeJulia/flc_pooling

  Code for FrequencyLowCut Pooling (FLC pooling)

  Language:Python182

• GeJulia/robustness_confidences_evaluation

  Official repository for our paper Robust Models are less Over-Confident

  Language:Python191

• automl/SVGe

  Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

  Language:Python13

• jovitalukasik/SVGe

  Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

  Language:Python152

• jovitalukasik/AG-Net

  Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"

  Language:Python153

• jovitalukasik/GNN_predictor

  Neural Architecture Performance PredictionUsing Graph Neural Networks

  Language:Python8

• steffen-jung/GCN-Multicut

  7

• steffen-jung/robustness-dataset

  GitHub repository of the ICLR 2023 paper "Neural Architecture Design and Robustness: A Dataset"

  Language:Jupyter Notebook15

• steffen-jung/FID-bias

  Code accompanying the NeurIPS 2021 Workshop on Distribution Shifts paper "Internalized Biases in Fréchet Inception Distance".

  7

• steffen-jung/SpectralGAN

  Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".

  Language:Python231

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.6k3.3k