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:
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- ☆76Updated last year
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 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
- ☆28Updated last year
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 7 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆180Updated 2 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 4 years ago
- [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
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …☆23Updated 2 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆149Updated 4 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆111Updated 2 years ago
- GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning☆68Updated 2 years ago
- MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020☆37Updated 4 years ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆76Updated 4 years ago
- Implementation of ENAS for CNNs on CIFAR 10☆11Updated 5 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago
- ☆226Updated 11 months ago
- ☆35Updated 3 years ago
- ☆37Updated 3 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆55Updated 3 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 4 years ago
- reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller☆43Updated 5 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆31Updated 3 years ago
- Homogeneous Architecture Augmentation for Neural Predictor☆8Updated 3 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆28Updated 2 years ago