botorch
Optimization toolkit
A PyTorch-based library for Bayesian optimization, providing a modular interface for composing and optimizing probabilistic models.
Bayesian optimization in PyTorch
3k stars
52 watching
404 forks
Language: Jupyter Notebook
last commit: 6 days ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
bayesian-optimization/bayesianoptimization | An optimization algorithm that uses gaussian processes to search for the maximum value of an unknown function | 7,919 |
pymc-devs/pymc | A Python package for Bayesian statistical modeling and probabilistic programming | 8,722 |
cornellius-gp/gpytorch | A library for creating scalable and flexible Gaussian process models with ease | 3,580 |
ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
ikostrikov/pytorch-a2c-ppo-acktr-gail | An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,605 |
pyro-ppl/pyro | A deep probabilistic programming library built on PyTorch to represent and analyze complex probability distributions. | 8,556 |
automl/auto-pytorch | An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,376 |
p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,640 |
probtorch/probtorch | A deep learning framework for probabilistic models that extends PyTorch with support for reparameterized distributions and Monte Carlo estimators. | 887 |
pytorch/captum | Provides tools and algorithms to understand how machine learning models make predictions | 4,931 |
huawei-noah/hebo | An open-source software library providing tools and frameworks for optimizing complex systems and improving machine learning models through Bayesian optimization and reinforcement learning. | 3,286 |
yunjey/pytorch-tutorial | A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,251 |
pytorch/pytorch | A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 83,959 |
sktime/pytorch-forecasting | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,001 |
ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |