google-research / lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
☆718Updated 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.☆380Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆629Updated 2 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆329Updated last year
- ☆536Updated 3 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆694Updated last year
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,434Updated 7 months ago
- Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).☆434Updated 3 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆320Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆428Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 4 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆916Updated 2 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆444Updated 2 years ago
- An experimental technique for efficiently exploring neural architectures.☆490Updated 7 years ago
- NAS-Bench-201 API and Instruction☆630Updated 4 years ago
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,579Updated 5 years ago
- Stochastic Weight Averaging in PyTorch☆969Updated 3 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆362Updated 5 years ago
- ConvNet training using pytorch☆345Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆878Updated 5 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆465Updated 3 years ago
- A curated list of awesome architecture search resources☆1,186Updated 4 years ago
- ☆144Updated 2 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆437Updated 4 years ago
- Neural Architecture Optimization☆285Updated 4 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆634Updated 4 years ago