google-research / lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
☆716Updated 4 years ago
Alternatives and similar repositories for lottery-ticket-hypothesis:
Users that are interested in lottery-ticket-hypothesis are comparing it to the libraries listed below
- Sparse learning library and sparse momentum resources.☆379Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆627Updated 2 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆328Updated last year
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆684Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated 2 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,426Updated 4 months ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- A large scale study of Knowledge Distillation.☆219Updated 4 years ago
- ☆143Updated last year
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆877Updated 5 years ago
- Implementations of ideas from recent papers☆391Updated 4 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆331Updated 6 months ago
- NAS-Bench-201 API and Instruction☆626Updated 4 years ago
- A curated list of awesome architecture search resources☆1,186Updated 4 years ago
- ☆535Updated 3 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆682Updated 5 years ago
- An experimental technique for efficiently exploring neural architectures.☆489Updated 7 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆847Updated 3 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆685Updated 5 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,023Updated 2 weeks ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆914Updated last year
- A drop-in replacement for CIFAR-10.☆237Updated 3 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆457Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆634Updated 4 years ago