pytorch / botorch
Bayesian optimization in PyTorch
☆3,096Updated this week
Related projects ⓘ
Alternatives and complementary repositories for botorch
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,570Updated last week
- Adaptive Experimentation Platform☆2,375Updated this week
- A Python toolbox for performing gradient-free optimization☆3,957Updated 3 weeks ago
- Gaussian Process Optimization using GPy☆928Updated last year
- A scikit-learn compatible neural network library that wraps PyTorch☆5,873Updated this week
- Gaussian processes in TensorFlow☆1,847Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,277Updated 8 months ago
- Differentiable convex optimization layers☆1,815Updated 2 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,185Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,523Updated this week
- torch-optimizer -- collection of optimizers for Pytorch☆3,038Updated 7 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,745Updated 8 months ago
- Model interpretability and understanding for PyTorch☆4,918Updated this week
- Gaussian processes framework in python☆2,035Updated last week
- A small package to create visualizations of PyTorch execution graphs☆3,219Updated 7 months ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,823Updated 4 months ago
- JAX-based neural network library☆2,894Updated last week
- Deep universal probabilistic programming with Python and PyTorch☆8,549Updated last week
- A Python implementation of global optimization with gaussian processes.☆7,893Updated 2 weeks ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,084Updated last week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,691Updated this week
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,584Updated last year
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,054Updated this week
- Notebooks about Bayesian methods for machine learning☆1,816Updated 8 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,567Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,589Updated 2 years ago
- A simple probabilistic programming language.☆679Updated 2 weeks ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,251Updated last week
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆987Updated 3 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,371Updated 7 months ago