dxywill / nas_rlLinks
Pytorch Implementation of Neural Architecture Search with Reinforcement Learning (in dev)
☆18Updated 5 years ago
Alternatives and similar repositories for nas_rl
Users that are interested in nas_rl are comparing it to the libraries listed below
Sorting:
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- ☆78Updated last year
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆183Updated 2 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆109Updated 6 years ago
- ☆29Updated last year
- reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller☆45Updated 5 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆149Updated 4 years ago
- ☆226Updated last year
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 7 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆333Updated last year
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago
- ☆35Updated 4 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 3 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆310Updated 5 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆180Updated 2 years ago
- Paper lists of neural architecture search (NAS)☆135Updated 4 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆701Updated 2 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Updated last year
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated last year
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆250Updated last year
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆31Updated 3 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆112Updated 2 years ago
- Neural Architecture Search (NAS) papers with code☆160Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆76Updated 4 years ago
- A curated list of awesome resources combining Transformers with Neural Architecture Search☆269Updated 2 years ago