Alternatives and similar repositories for tensorflow_constrained_optimization

Users that are interested in tensorflow_constrained_optimization are comparing it to the libraries listed below

• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆341Updated 4 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated 2 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆149Updated last year
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 5 years ago
• google / ml-fairness-gym
  ☆316Updated 2 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆389Updated last year
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆340Updated 5 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆290Updated 5 years ago
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆232Updated last year
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• SMPyBandits / SMPyBandits
  🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…
  ☆407Updated last year
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆266Updated last week
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• facebookresearch / rlstructures
  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…
  ☆261Updated 2 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆619Updated 2 years ago
• google / edward2
  A simple probabilistic programming language.
  ☆700Updated 2 weeks ago
• uber-research / EvoGrad
  ☆183Updated last year
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆489Updated 6 years ago
• google-deepmind / mc_gradients
  ☆170Updated last year
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆243Updated 2 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆329Updated 3 years ago
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆245Updated 5 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 5 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆163Updated 3 years ago
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆196Updated 2 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆270Updated 5 years ago