facebookresearch / LaMCTS
The release codes of LA-MCTS with its application to Neural Architecture Search.
☆468Updated 2 years ago
Alternatives and similar repositories for LaMCTS:
Users that are interested in LaMCTS are comparing it to the libraries listed below
- Naszilla is a Python library for neural architecture search (NAS)☆306Updated 2 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆342Updated 3 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆167Updated 3 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆464Updated 3 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆690Updated last year
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆167Updated 4 years ago
- ☆188Updated 6 months ago
- Collection of hyperparameter optimization benchmark problems☆145Updated 8 months ago
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆538Updated 3 months ago
- NSGA-Net, a Neural Architecture Search Algorithm☆267Updated 5 years ago
- Zero-Cost Proxies for Lightweight NAS☆147Updated last year
- A PyTorch Library for Reinforcement Learning Research☆198Updated last year
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆103Updated 3 years ago
- DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks☆280Updated this week
- Starter kit for the black box optimization challenge at Neurips 2020☆114Updated 4 years ago
- ☆95Updated 5 years ago
- ☆76Updated 10 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆572Updated last month
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆266Updated 5 years ago
- Understanding and Robustifying DARTS☆155Updated 10 months ago
- [ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search☆152Updated 2 years ago
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆565Updated last week
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 4 years ago
- Neural Architecture Search (NAS) papers with code☆156Updated 3 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆177Updated 2 years ago
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.☆283Updated 2 years ago
- Extensible Combinatorial Optimization Learning Environments☆334Updated 2 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆472Updated 6 months ago