automl / Auto-PyTorchLinks
Automatic architecture search and hyperparameter optimization for PyTorch
☆2,523Updated last year
Alternatives and similar repositories for Auto-PyTorch
Users that are interested in Auto-PyTorch are comparing it to the libraries listed below
Sorting:
- Curating a list of AutoML-related research, tools, projects and other resources☆910Updated 5 months ago
- Bayesian optimization in PyTorch☆3,452Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,897Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,160Updated last year
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,215Updated last month
- Model interpretability and understanding for PyTorch☆5,548Updated this week
- Accelerated deep learning R&D☆3,372Updated 7 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,525Updated 6 months ago
- A Python toolbox for performing gradient-free optimization☆4,146Updated 8 months ago
- Algorithms for explaining machine learning models☆2,606Updated 3 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,727Updated this week
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,141Updated last year
- a distributed Hyperband implementation on Steroids☆627Updated 3 years ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,283Updated this week
- A unified framework for Deep Learning Models on tabular data☆1,625Updated this week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,754Updated 2 weeks ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,859Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,335Updated 3 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,711Updated last month
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,400Updated last week
- Automated deep learning algorithms implemented in PyTorch.☆1,583Updated 3 years ago
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆583Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 4 years ago
- A Hyperparameter Tuning Library for Keras☆2,917Updated 2 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,616Updated 2 weeks ago
- A modular active learning framework for Python☆2,336Updated last year
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,560Updated 6 years ago
- A small package to create visualizations of PyTorch execution graphs☆3,483Updated last year
- cuML - RAPIDS Machine Learning Library☆5,113Updated this week