SforAiDl / KD_LibLinks
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
☆646Updated 2 years ago
Alternatives and similar repositories for KD_Lib
Users that are interested in KD_Lib are comparing it to the libraries listed below
Sorting:
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,558Updated last month
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆584Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,717Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- A large scale study of Knowledge Distillation.☆220Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- ☆605Updated last month
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,966Updated 2 years ago
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆536Updated 11 months ago
- Open-source code for paper "Dataset Distillation"☆814Updated 3 months ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Updated 4 months ago
- Estimate/count FLOPS for a given neural network using pytorch☆306Updated 3 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆539Updated last year
- Compare neural networks by their feature similarity☆374Updated 2 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- knowledge distillation papers☆762Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆554Updated 3 months ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 4 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆418Updated 5 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆630Updated 2 months ago
- PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Oth…☆328Updated 6 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,930Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆953Updated 6 months ago
- Learning Rate Warmup in PyTorch☆412Updated 3 months ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆477Updated 9 months ago