liamcli / darts_ashaLinks
Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
☆22Updated 5 years ago
Alternatives and similar repositories for darts_asha
Users that are interested in darts_asha are comparing it to the libraries listed below
Sorting:
- Encodings for neural architecture search☆29Updated 4 years ago
- ☆70Updated 5 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- Local search for NAS☆18Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral☆61Updated last year
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- ☆22Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- ☆23Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- ☆61Updated 2 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆39Updated 6 years ago
- ☆76Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- ☆45Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- ☆67Updated 4 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 5 years ago
- An implementation of shampoo☆77Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 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
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago