facebookresearch / nevergrad
A Python toolbox for performing gradient-free optimization
☆4,040Updated this week
Alternatives and similar repositories for nevergrad:
Users that are interested in nevergrad are comparing it to the libraries listed below
- Bayesian optimization in PyTorch☆3,219Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,332Updated last year
- A scikit-learn compatible neural network library that wraps PyTorch☆6,000Updated this week
- Gin provides a lightweight configuration framework for Python☆2,095Updated 2 weeks ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,679Updated last month
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,648Updated last week
- Adaptive Experimentation Platform☆2,467Updated this week
- Differentiable convex optimization layers☆1,902Updated 4 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,714Updated last week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,315Updated 3 weeks ago
- Efficiently computes derivatives of NumPy code.☆7,222Updated this week
- JAX-based neural network library☆3,010Updated this week
- TensorLy: Tensor Learning in Python.☆1,607Updated last month
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,610Updated last month
- Flax is a neural network library for JAX that is designed for flexibility.☆6,470Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,385Updated 2 months ago
- HiPlot makes understanding high dimensional data easy☆2,788Updated last year
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,295Updated 4 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,764Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,426Updated 2 weeks ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,805Updated last year
- Gaussian processes in TensorFlow☆1,866Updated last month
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,845Updated 2 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,099Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,438Updated last year
- TensorFlow Reinforcement Learning☆3,138Updated 2 years ago
- Accelerated deep learning R&D☆3,342Updated last year
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,838Updated last year
- Fast and flexible AutoML with learning guarantees.☆3,462Updated last year
- A library of reinforcement learning components and agents☆3,631Updated 2 months ago