meta-pytorch / botorchLinks
Bayesian optimization in PyTorch
☆3,438Updated last week
Alternatives and similar repositories for botorch
Users that are interested in botorch are comparing it to the libraries listed below
Sorting:
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,816Updated this week
- Adaptive Experimentation Platform☆2,679Updated last week
- A Python toolbox for performing gradient-free optimization☆4,141Updated 7 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,366Updated last year
- Gaussian Process Optimization using GPy☆949Updated 2 years ago
- Gaussian processes in TensorFlow☆1,897Updated 7 months ago
- Gaussian processes framework in python☆2,137Updated 6 months ago
- Differentiable convex optimization layers☆2,037Updated last week
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,211Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,145Updated 2 weeks ago
- An open source python library for scalable Bayesian optimisation.☆894Updated 2 years ago
- TensorLy: Tensor Learning in Python.☆1,654Updated last month
- Sequential model-based optimization with a `scipy.optimize` interface☆2,807Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,721Updated this week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,515Updated last year
- A Python implementation of global optimization with gaussian processes.☆8,516Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,580Updated 2 weeks ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,160Updated last year
- Notebooks about Bayesian methods for machine learning☆1,905Updated last year
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,963Updated 10 months ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,355Updated 2 months ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆643Updated last week
- JAX-based neural network library☆3,158Updated this week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,694Updated last year
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,153Updated 2 months ago
- Python implementation of CMA-ES☆1,267Updated last month
- a distributed Hyperband implementation on Steroids☆626Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,549Updated last year
- Model interpretability and understanding for PyTorch☆5,517Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,591Updated last month