CoactiveAI / dataperf-vision-selection
Alpha version of our data-centric visual benchmark for training data selection
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for dataperf-vision-selection
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated last year
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- pytest plugin for a better developer experience when working with the PyTorch test suite☆43Updated 2 years ago
- Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations☆20Updated last month
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated last year
- understanding model mistakes with human annotations☆105Updated last year
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Official PyTorch implementation of RIO☆18Updated 3 years ago
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- An Easy To Use PyTorch Computer Vision Library☆51Updated last year
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆127Updated 2 years ago
- Official implementation of "Active Image Indexing"☆58Updated last year
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- Implementing DropPath/StochasticDepth in PyTorch☆16Updated 2 years ago
- A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR…☆30Updated last year
- ImageNet-12k subset of ImageNet-21k (fall11)☆20Updated last year
- Domain Adaptation☆23Updated 2 years ago
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 3 years ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆67Updated last year
- Efficient CUDA kernels for training convolutional neural networks with PyTorch.☆35Updated this week
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- PyTorch examples powered by Lightning☆12Updated last year
- In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code…☆32Updated last year
- Load any clip model with a standardized interface☆21Updated 6 months ago
- QUick and DIrty Domain Adaptation☆20Updated 10 months ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆87Updated 3 years ago
- Official repository of the paper "GPR1200: A Benchmark for General-PurposeContent-Based Image Retrieval"☆26Updated 2 months ago
- 4th place solution for the Google Universal Image Embedding Kaggle Challenge. Instance-Level Recognition workshop at ECCV 2022☆42Updated last year
- ☆30Updated 5 months ago