facebookresearch / nevergradLinks
A Python toolbox for performing gradient-free optimization
☆4,137Updated 6 months ago
Alternatives and similar repositories for nevergrad
Users that are interested in nevergrad are comparing it to the libraries listed below
Sorting:
- Bayesian optimization in PyTorch☆3,432Updated this week
- Adaptive Experimentation Platform☆2,673Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,813Updated 3 weeks ago
- Fast and Easy Infinite Neural Networks in Python☆2,365Updated last year
- Gin provides a lightweight configuration framework for Python☆2,144Updated 3 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,805Updated last year
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,350Updated 2 months ago
- TensorLy: Tensor Learning in Python.☆1,650Updated last month
- JAX-based neural network library☆3,148Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,574Updated 2 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,141Updated last month
- Differentiable convex optimization layers☆2,029Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,396Updated 2 weeks ago
- HiPlot makes understanding high dimensional data easy☆2,801Updated last year
- Efficiently computes derivatives of NumPy code.☆7,427Updated last week
- Gaussian processes in TensorFlow☆1,895Updated 6 months ago
- Flax is a neural network library for JAX that is designed for flexibility.☆6,977Updated last week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,463Updated 2 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,677Updated 2 weeks ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,208Updated last week
- Deep universal probabilistic programming with Python and PyTorch☆8,933Updated 5 months ago
- An open source python library for scalable Bayesian optimisation.☆894Updated 2 years ago
- Gaussian Process Optimization using GPy☆950Updated 2 years ago
- A Python implementation of global optimization with gaussian processes.☆8,502Updated 3 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,158Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,722Updated last week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,511Updated 5 months ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,824Updated 2 years ago
- A Hyperparameter Tuning Library for Keras☆2,917Updated 3 weeks ago
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago