arjun-majumdar / Neural_Network_PruningLinks
Implementations of different neural network pruning techniques
☆14Updated 2 years ago
Alternatives and similar repositories for Neural_Network_Pruning
Users that are interested in Neural_Network_Pruning are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 6 years ago
- MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation☆51Updated 4 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated 2 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆100Updated 4 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 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
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago
- PyTorch Pruning Example☆51Updated 3 years ago
- ☆147Updated 4 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆653Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 3 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
- A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".☆113Updated 2 months ago
- Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"☆34Updated last year
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆350Updated 2 years ago
- Unofficial PyTorch Implementation of EvoNorm☆123Updated 4 years ago
- PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]☆22Updated 2 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel …☆32Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆201Updated last year
- Using ideas from product quantization for state-of-the-art neural network compression.☆145Updated 4 years ago
- ☆52Updated 5 years ago
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)☆130Updated 5 years ago
- The service for the demonstration of transforms in Albumentations library☆108Updated last year
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆158Updated 4 years ago
- CIFAR-10 raw jpeg images☆123Updated 4 years ago
- Implementation of Online Label Smoothing in PyTorch☆96Updated 3 years ago
- Estimate/count FLOPS for a given neural network using pytorch☆305Updated 3 years ago
- Repository to perform simple pruning experiments on neural networks☆18Updated 5 years ago