13 results found Sort:

ray-project
ray ray-project
6.2k
36.5k
apache-2.0
480
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
llm ray rllib python pytorch serving parallel deployment tensorflow distributed llm-serving data-science optimization deep-learning llm-inference machine-learning hyperparameter-search large-language-models reinforcement-learning hyperparameter-optimization
Created 2016-10-25
24,759 commits to master branch, last one 31 minutes ago
wandb
wandb wandb
728
9.7k
mit
62
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ai jax keras mlops pytorch tensorflow ml-platform data-science collaboration deep-learning data-versioning reproducibility experiment-track machine-learning model-versioning hyperparameter-search hyperparameter-tuning reinforcement-learning hyperparameter-optimization
Created 2017-03-24
7,845 commits to main branch, last one 7 hours ago
automl
auto-sklearn automl
1.3k
7.8k
bsd-3-clause
212
Automated Machine Learning with scikit-learn
smac automl metalearning scikit-learn meta-learning bayesian-optimization hyperparameter-search hyperparameter-tuning automated-machine-learning hyperparameter-optimization
Created 2015-07-02
2,759 commits to development branch, last one about a year ago
determined-ai
determined determined-ai
365
3.1k
apache-2.0
82
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
keras mlops pytorch kubernetes tensorflow ml-platform data-science deep-learning machine-learning ml-infrastructure distributed-training hyperparameter-search hyperparameter-tuning hyperparameter-optimization
Created 2020-04-07
8,394 commits to main branch, last one 20 days ago
scikit-optimize
scikit-optimize scikit-optimize
552
2.8k
bsd-3-clause
62
Sequential model-based optimization with a `scipy.optimize` interface
binder bayesopt optimization scikit-learn hacktoberfest visualization hyperparameter machine-learning scientific-computing bayesian-optimization hyperparameter-search hyperparameter-tuning scientific-visualization sequential-recommendation hyperparameter-optimization
This repository has been archived (exclude archived)
Created 2016-03-20
1,570 commits to master branch, last one 3 years ago
DLR-RM
rl-baselines3-zoo DLR-RM
544
2.4k
mit
20
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
rl gym lab sde openai pytorch pybullet robotics optimization stable-baselines hyperparameter-search hyperparameter-tuning pybullet-environments reinforcement-learning tuning-hyperparameters deep-reinforcement-learning hyperparameter-optimization
Created 2020-05-05
389 commits to master branch, last one 16 days ago
araffin
rl-baselines-zoo araffin
209
1.2k
mit
30
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rl gym zoo openai pybullet openai-gym optimization hyperparameters stable-baselines hyperparameter-search hyperparameter-tuning reinforcement-learning hyperparameter-optimization
Created 2018-10-31
237 commits to master branch, last one 4 years ago
automl
SMAC3 automl
233
1.1k
other
40
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
automl configuration random-forest gaussian-process bayesian-optimisation bayesian-optimization hyperparameter-search hyperparameter-tuning algorithm-configuration automated-machine-learning hyperparameter-optimization
Created 2016-08-17
2,077 commits to main branch, last one about a month ago
MIND-Lab
OCTIS MIND-Lab
110
753
mit
13
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
nlp nlproc nlp-library topic-models topic-modeling evaluation-metrics neural-topic-models bayesian-optimization hyperparameter-search hyperparameter-tuning latent-semantic-analysis hyperparameter-optimization latent-dirichlet-allocation natural-language-processing non-negative-matrix-factorization
Created 2020-03-13
1,150 commits to master branch, last one 8 months ago
Neuraxio
Neuraxle Neuraxio
62
610
apache-2.0
18
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spa...
neuraxle parallel pipeline framework scikit-learn deep-learning python-library hyperparameters machine-learning pipeline-framework hyperparameter-search hyperparameter-tuning hyperparameter-optimization
Created 2019-03-26
1,877 commits to master branch, last one 2 years ago
IBM
lale IBM
81
335
apache-2.0
21
Library for Semi-Automated Data Science
automl python dataquality data-science ibm-research scikit-learn pipeline-tests ibm-research-ai interoperability machine-learning pipeline-testing hyperparameter-search hyperparameter-tuning artificial-intelligence automated-machine-learning hyperparameter-optimization
Created 2019-08-06
1,532 commits to master branch, last one 2 days ago
logicalclocks
maggy logicalclocks
14
90
apache-2.0
9
Distribution transparent Machine Learning experiments on Apache Spark
spark automl ablation ablation-study ablation-studies blackbox-optimization hyperparameter-search hyperparameter-tuning hyperparameter-optimization
Created 2019-02-18
97 commits to master branch, last one about a year ago
vthorey
benderopt vthorey
6
86
mit
8
Black-box optimization library
mlops automl optimization deep-learning machine-learning hyperparameter-search
Created 2017-03-13
146 commits to master branch, last one 7 months ago