facebookresearch / nevergradLinks
A Python toolbox for performing gradient-free optimization
☆4,127Updated 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☆3,418Updated this week
- Adaptive Experimentation Platform☆2,648Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,800Updated last week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,344Updated last month
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,714Updated 2 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,139Updated 2 weeks ago
- Differentiable convex optimization layers☆2,019Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,362Updated last year
- Gin provides a lightweight configuration framework for Python☆2,138Updated 2 months ago
- JAX-based neural network library☆3,129Updated 2 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,927Updated 4 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,671Updated 2 weeks ago
- HiPlot makes understanding high dimensional data easy☆2,801Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,803Updated last year
- Python implementation of CMA-ES☆1,256Updated 2 months ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,466Updated 2 months ago
- Efficiently computes derivatives of NumPy code.☆7,402Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,154Updated last year
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,549Updated last week
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,204Updated this week
- A collection of infrastructure and tools for research in neural network interpretability.☆4,702Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,557Updated this week
- An open source python library for scalable Bayesian optimisation.☆893Updated 2 years ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,504Updated 4 months ago
- Gaussian processes in TensorFlow☆1,896Updated 6 months ago
- TensorLy: Tensor Learning in Python.☆1,645Updated 2 weeks ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,510Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,394Updated 3 weeks ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,750Updated last month
- cuML - RAPIDS Machine Learning Library☆5,031Updated last week