facebookresearch / nevergradLinks
A Python toolbox for performing gradient-free optimization
☆4,143Updated 7 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☆3,441Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,816Updated last week
- Adaptive Experimentation Platform☆2,682Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,147Updated 3 weeks ago
- Efficiently computes derivatives of NumPy code.☆7,439Updated 2 weeks ago
- Deep universal probabilistic programming with Python and PyTorch☆8,948Updated 6 months ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,355Updated 2 months ago
- JAX-based neural network library☆3,158Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,807Updated last year
- Gin provides a lightweight configuration framework for Python☆2,145Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,366Updated last year
- Differentiable convex optimization layers☆2,037Updated 2 weeks ago
- Flax is a neural network library for JAX that is designed for flexibility.☆7,016Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,401Updated last week
- Gaussian processes in TensorFlow☆1,897Updated 7 months ago
- HiPlot makes understanding high dimensional data easy☆2,801Updated 2 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,723Updated this week
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,682Updated last month
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,591Updated last month
- TensorLy: Tensor Learning in Python.☆1,656Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,519Updated 5 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,587Updated last week
- An open source python library for scalable Bayesian optimisation.☆894Updated 2 years ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,825Updated 2 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,515Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,464Updated 3 months ago
- Make huge neural nets fit in memory☆2,826Updated 5 years ago
- Build Graph Nets in Tensorflow☆5,393Updated 3 years ago
- Fast and flexible AutoML with learning guarantees.☆3,459Updated 2 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 4 years ago