apple / ml-drLinks
A light-weight implementation of ICCV2023 paper "Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement."
☆83Updated 2 years ago
Alternatives and similar repositories for ml-dr
Users that are interested in ml-dr are comparing it to the libraries listed below
Sorting:
- ☆129Updated 2 years ago
- Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models" ICLR 2024☆109Updated last year
- ☆59Updated last year
- ☆91Updated last year
- This repository contains the official implementation for the ECCV'22 paper, "SPIN: An Empirical Evaluation on Sharing Parameters of Isotr…☆20Updated 2 years ago
- Timm model explorer☆42Updated last year
- understanding model mistakes with human annotations☆106Updated 2 years ago
- ☆190Updated 2 years ago
- ☆36Updated 2 years ago
- Code release for "Dropout Reduces Underfitting"☆317Updated 2 years ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆69Updated 7 months ago
- Research publication code for "Forward Compatible Training for Large-Scale Embedding Retrieval Systems", CVPR 2022, and "FastFill: Effici…☆56Updated 2 years ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆133Updated 3 years ago
- Export utility for unconstrained channel pruned models☆72Updated 2 years ago
- The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"☆248Updated 10 months ago
- ☆51Updated last year
- Visualizer for PyTorch image models☆44Updated 4 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
- This is the repository for the Photorealistic Unreal Graphics (PUG) datasets for representation learning.☆237Updated last year
- Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"☆101Updated last year
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- ☆209Updated 2 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 2 years ago
- Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations☆23Updated last year
- ☆134Updated 2 years ago
- Experimental CUDA kernel framework unifying typed dimensions, NVRTC JIT specialization, and ML‑guided tuning.☆45Updated this week
- Code release for "Improved baselines for vision-language pre-training"☆61Updated last year
- Utility to test the performance of CoreML models.☆70Updated 5 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆210Updated 2 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago