google-research / tensorflow_constrained_optimizationLinks
☆310Updated 4 years ago
Alternatives and similar repositories for tensorflow_constrained_optimization
Users that are interested in tensorflow_constrained_optimization are comparing it to the libraries listed below
Sorting:
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆340Updated 4 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated last year
- ☆315Updated 2 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- a distributed Hyperband implementation on Steroids☆618Updated 2 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- A Python sandbox for decision making in dynamics☆422Updated last year
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Functional tensors for probabilistic programming☆241Updated last year
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆260Updated 2 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- ☆470Updated 2 months ago
- ☆275Updated 5 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 6 years ago
- ☆182Updated 11 months ago
- A simple probabilistic programming language.☆699Updated 2 weeks ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆151Updated 4 years ago
- Python toolbox for sampling Determinantal Point Processes☆229Updated 11 months ago
- Functional ANOVA☆125Updated 3 months ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Updated 2 months ago
- 🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…☆407Updated last year
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 4 years ago
- Experiment orchestration☆103Updated 5 years ago