63 results found Sort:

microsoft
nni microsoft
1.8k
14.1k
mit
284
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
nas mlops automl python pytorch tensorflow distributed data-science deep-learning neural-network machine-learning model-compression deep-neural-network feature-engineering bayesian-optimization hyperparameter-tuning automated-machine-learning neural-architecture-search hyperparameter-optimization machine-learning-algorithms
This repository has been archived (exclude archived)
Created 2018-06-01
3,012 commits to master branch, last one about a year ago
wandb
wandb wandb
675
9.2k
mit
61
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
7,380 commits to main branch, last one 13 hours ago
automl
auto-sklearn automl
1.3k
7.7k
bsd-3-clause
214
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
skypilot-org
skypilot skypilot-org
518
6.8k
apache-2.0
70
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
gpu tpu finops job-queue multicloud llm-serving ml-platform data-science llm-training deep-learning job-scheduler spot-instances cloud-computing cost-management cloud-management machine-learning cost-optimization ml-infrastructure distributed-training hyperparameter-tuning
Created 2021-08-11
2,160 commits to master branch, last one 7 hours ago
amanchadha
coursera-deep-learning-specialization amanchadha
2.3k
3.2k
unknown
30
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
cnns rnns coursera andrew-ng deep-learning neural-network regularization neural-networks andrew-ng-course coursera-assignment hyperparameter-tuning neural-style-transfer coursera-specialization recurrent-neural-network coursera-machine-learning recurrent-neural-networks neural-machine-translation hyperparameter-optimization convolutional-neural-network convolutional-neural-networks
Created 2020-06-24
64 commits to master branch, last one 7 months ago
determined-ai
determined determined-ai
357
3.0k
apache-2.0
85
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
8,378 commits to main branch, last one 11 days ago
scikit-optimize
scikit-optimize scikit-optimize
546
2.7k
bsd-3-clause
63
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
518
2.1k
mit
23
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
383 commits to master branch, last one 14 days ago
kubeflow
katib kubeflow
443
1.5k
apache-2.0
67
Automated Machine Learning on Kubernetes
ai jax llm mlops automl pytorch kubeflow kubernetes tensorflow huggingface scikit-learn machine-learning hyperparameter-tuning neural-architecture-search
Created 2018-04-03
1,300 commits to master branch, last one a day ago
google
vizier google
97
1.5k
apache-2.0
24
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
grpc google tuning vizier algorithm open-source optimization deep-learning machine-learning tuning-parameters distributed-systems bayesian-optimization blackbox-optimization distributed-computing hyperparameter-tuning evolutionary-algorithms hyperparameter-optimization
Created 2022-02-16
1,152 commits to main branch, last one 23 hours ago
LiYangHart
Hyperparameter-Optimization-of-Machine-Learning-Algorithms LiYangHart
300
1.3k
mit
88
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hpo knn svm hyperband grid-search optimization deep-learning random-forest random-search python-samples python-examples machine-learning genetic-algorithm tuning-parameters bayesian-optimization hyperparameter-tuning artificial-neural-networks hyperparameter-optimization machine-learning-algorithms particle-swarm-optimization
Created 2020-07-23
40 commits to master branch, last one 2 years ago
araffin
rl-baselines-zoo araffin
208
1.1k
mit
32
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 3 years ago
automl
SMAC3 automl
227
1.1k
other
42
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
2,074 commits to main branch, last one 4 months ago
alteryx
evalml alteryx
87
785
bsd-3-clause
22
EvalML is an AutoML library written in python.
automl data-science optimization model-selection machine-learning feature-selection feature-engineering hyperparameter-tuning
Created 2019-07-17
2,212 commits to main branch, last one 19 days ago
MIND-Lab
OCTIS MIND-Lab
106
734
mit
15
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 4 months ago
onepanelio
onepanel onepanelio
70
722
apache-2.0
34
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
ai etl aiops mlops pytorch labeling training inference pipelines workflows annotation jupyterlab tensorflow tensorboard deeplearning computer-vision machinelearning hyperparameter-tuning
Created 2019-09-26
2,383 commits to master branch, last one 3 years ago
HunterMcGushion
hyperparameter_hunter HunterMcGushion
100
706
mit
24
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai ml rgf keras python sklearn xgboost catboost lightgbm data-science optimization scikit-learn deep-learning neural-network experimentation machine-learning feature-engineering hyperparameter-tuning artificial-intelligence hyperparameter-optimization
Created 2018-06-01
1,096 commits to master branch, last one 3 years ago
Western-OC2-Lab
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Western-OC2-Lab
111
623
mit
69
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
iot automl data-streams concept-drift deep-learning python-samples model-selection python-examples machine-learning data-preprocessing iot-data-analytics feature-engineering hyperparameter-tuning data-stream-processing automated-machine-learning intrusion-detection-system
Created 2022-09-09
35 commits to main branch, last one 6 months ago
Neuraxio
Neuraxle Neuraxio
62
608
apache-2.0
19
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
AgileRL
AgileRL AgileRL
47
598
apache-2.0
8
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
gym hpo mlops rlops automl python agilerl pytorch training pettingzoo distributed multi-agent deep-learning machine-learning hyperparameter-tuning reinforcement-learning evolutionary-algorithms deep-reinforcement-learning hyperparameter-optimization multi-agent-reinforcement-learning
Created 2023-03-01
1,617 commits to main branch, last one a day ago
BCG-X-Official
facet BCG-X-Official
46
515
apache-2.0
13
Human-explainable AI.
python simulation statistics data-science data-analytics explainable-ai model-selection interpretability machine-learning hyperparameter-tuning shap-vector-decomposition
Created 2020-08-05
3,164 commits to 2.1.x branch, last one 10 months ago
ray-project
tune-sklearn ray-project
51
467
apache-2.0
17
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl gridsearchcv scikit-learn bayesian-optimization hyperparameter-tuning
This repository has been archived (exclude archived)
Created 2019-11-28
182 commits to master branch, last one about a year ago
ARM-software
mango ARM-software
47
401
apache-2.0
11
Parallel Hyperparameter Tuning in Python
keras-examples neural-network neural-networks machine-learning scipy-compatible production-system tuning-parameters cluster-deployment gaussian-processes parallel-computing pytorch-compatible sklearn-compatible tensorflow-examples bayesian-optimization blackbox-optimization hyperparameter-tuning kubernetes-deployment hyperparameter-optimization
Created 2019-10-18
281 commits to main branch, last one 3 months ago
syne-tune
syne-tune syne-tune
51
393
apache-2.0
12
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
sagemaker machine-learning bayesian-optimization hyperparameter-tuning neural-architecture-search hyperparameter-optimization multi-objective-optimization
Created 2021-10-15
643 commits to main branch, last one a day ago
IBM
lale IBM
82
334
apache-2.0
23
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
1,492 commits to master branch, last one 3 months ago
ppant
deeplearning.ai-notes ppant
158
284
unknown
12
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
programming optimization deep-learning neural-networks machine-learning hyperparameter-tuning deep-learning-tutorial
Created 2018-01-08
35 commits to master branch, last one 3 years ago
awslabs
Renate awslabs
6
280
apache-2.0
12
Library for automatic retraining and continual learning
aws neural pytorch sagemaker neural-network machine-learning pytorch-lightning continual-learning hyperparameter-tuning machine-learning-algorithms hyperparameters-optimization
Created 2022-10-26
261 commits to main branch, last one 5 months ago
DataCanvasIO
Hypernets DataCanvasIO
40
267
apache-2.0
19
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
nas enas mcts keras autodl automl nasnet hyperparameter-tuning reinforcement-learning evolutionary-algorithms monte-carlo-tree-search neural-architecture-search hyperparameter-optimization
Created 2020-06-22
1,334 commits to master branch, last one 4 months ago
lettergram
sentence-classification lettergram
36
237
other
8
Sentence Classifications with Neural Networks
cnn rnn fasttext neural-network hyperparameter-tuning sentence-classification
Created 2019-01-03
47 commits to master branch, last one 3 years ago
Alex-Lekov
AutoML_Alex Alex-Lekov
43
228
mit
7
State-of-the art Automated Machine Learning python library for Tabular Data
ml automl python auto-ml sklearn xgboost stacking data-science optimisation model-selection cross-validation machine-learning stacking-ensemble data-science-projects hyperparameter-tuning machine-learning-models machine-learning-library automatic-machine-learning hyperparameter-optimization
Created 2020-05-09
165 commits to master branch, last one about a year ago