33 results found Sort:

ray-project
ray ray-project
5.9k
34.6k
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.
ray java rllib automl python pytorch serving parallel deployment tensorflow distributed llm-serving data-science optimization deep-learning model-selection machine-learning hyperparameter-search reinforcement-learning hyperparameter-optimization
Created 2016-10-25
23,381 commits to master branch, last one 12 hours ago
EpistasisLab
tpot EpistasisLab
1.6k
9.8k
lgpl-3.0
289
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 alzheimer alzheimers automation u01ag066833 data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2015-11-03
2,440 commits to master branch, last one 10 months ago
DistrictDataLabs
yellowbrick DistrictDataLabs
559
4.3k
apache-2.0
103
Visual analysis and diagnostic tools to facilitate machine learning model selection.
python anaconda estimator matplotlib visualizer scikit-learn visualization model-selection visual-analysis machine-learning
Created 2016-05-18
901 commits to develop branch, last one about a year ago
rorysroes
SGX-Full-OrderBook-Tick-Data-Trading-Strategy rorysroes
671
2.0k
unknown
99
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
quant python trading orderbook investment market-maker market-making model-selection limit-order-book machine-learning feature-selection trading-strategies algorithmic-trading feature-engineering orderbook-tick-data quantitative-trading market-microstructure high-frequency-trading backtesting-trading-strategies
Created 2016-07-21
158 commits to master branch, last one 2 years ago
balavenkatesh3322
CV-pretrained-model balavenkatesh3322
190
1.3k
mit
38
A collection of computer vision pre-trained models.
image keras model mxnet models python3 pytorch pretrained tensorflow awesome-list data-science deep-learning neural-network video-analysis computer-vision model-selection object-detection pretrained-models image-classification
Created 2020-07-14
51 commits to master branch, last one 3 years ago
DeepWisdom
AutoDL DeepWisdom
215
1.1k
apache-2.0
32
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
ai nas autodl automl python resnet pytorch big-data lightgbm tensorflow full-automl multi-label data-science deeplearning model-selection autodl-challenge machine-learning feature-engineering artificial-intelligence automated-machine-learning
Created 2020-04-02
79 commits to master branch, last one 3 years ago
sberbank-ai-lab
LightAutoML sberbank-ai-lab
95
908
apache-2.0
32
LAMA - automatic model creation framework
nlp lama automl kaggle pytorch blackbox pipeline stacking whitebox ensembling multiclass regression data-science linear-model classification model-selection parameter-tuning gradient-boosting feature-engineering automated-machine-learning
This repository has been archived (exclude archived)
Created 2020-02-13
497 commits to master branch, last one 2 years ago
alteryx
evalml alteryx
87
793
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 about a month ago
smartcorelib
smartcore smartcorelib
79
722
apache-2.0
17
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet sti...
rust rust-lang clustering regression classification model-selection machine-learning statistical-models scientific-computing statistical-learning machine-learning-algorithms
Created 2019-05-08
407 commits to development branch, last one 26 days ago
Western-OC2-Lab
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Western-OC2-Lab
111
624
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 7 months ago
cerlymarco
shap-hypetune cerlymarco
71
566
mit
7
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
shap xgboost lightgbm model-selection parameter-tuning feature-selection hyperparameter-optimization
Created 2021-05-16
30 commits to main branch, last one 10 months ago
SimonBlanke
Hyperactive SimonBlanke
42
515
mit
12
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
keras python pytorch xgboost hyperactive data-science optimization scikit-learn deep-learning model-selection machine-learning parameter-tuning parallel-computing feature-engineering bayesian-optimization automated-machine-learning neural-architecture-search hyperparameter-optimization
Created 2018-11-01
2,383 commits to master branch, last one about a month ago
BCG-X-Official
facet BCG-X-Official
46
514
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
yzkang
My-Data-Competition-Experience yzkang
67
390
unknown
9
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
gan sql automl python xgboost catboost lightgbm data-science model-fusion deep-learning model-selection machine-learning feature-selection kaggle-competition feature-engineering tianchi-competition hyperparameter-optimization
Created 2019-10-11
73 commits to master branch, last one 3 years ago
joshspeagle
dynesty joshspeagle
79
363
mit
19
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
mit-license monte-carlo pure-python model-selection nested-sampling bayesian-inference
Created 2017-05-02
1,399 commits to master branch, last one 3 days ago
rodrigo-arenas
Sklearn-genetic-opt rodrigo-arenas
78
316
mit
7
ML hyperparameters tuning and features selection, using evolutionary algorithms.
deap automl python sklearn help-wanted scikit-learn up-for-grabs goodfirstissue hyperparameters model-selection featureselection good-first-issue machine-learning begginer-friendly feature-selection contributions-welcome artificial-intelligence evolutionary-algorithms looking-for-contributors hyperparameter-optimization
Created 2020-01-18
509 commits to master branch, last one 2 months ago
WenjieZ
TSCV WenjieZ
42
251
bsd-3-clause
12
Time Series Cross-Validation -- an extension for scikit-learn
backtesting time-series data-science model-selection cross-validation machine-learning tuning-parameters hyperparameter-optimization
Created 2019-05-14
56 commits to master branch, last one about a year ago
Alex-Lekov
AutoML_Alex Alex-Lekov
43
229
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
EpistasisLab
tpot2 EpistasisLab
29
213
lgpl-3.0
10
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 lm010098 alzheimer alzheimers automation data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2023-03-24
471 commits to main branch, last one a day ago
Cibiv
IQ-TREE Cibiv
44
191
gpl-2.0
18
Efficient phylogenomic software by maximum likelihood
iq-tree mixture-model phylogenetics phylogenomics model-selection maximum-likelihood ultrafast-bootstrap
This repository has been archived (exclude archived)
Created 2015-11-06
3,699 commits to master branch, last one 4 years ago
JohannesBuchner
UltraNest JohannesBuchner
31
158
other
7
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
python monte-carlo model-selection nested-sampling parallel-computing
Created 2019-10-03
765 commits to master branch, last one 8 days ago
christophmark
bayesloop christophmark
27
156
mit
13
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
model-selection anomaly-detection bayesian-inference time-series-analysis probabilistic-programming
Created 2015-08-27
508 commits to master branch, last one 8 months ago
heidelbergcement
hcrystalball heidelbergcement
19
151
mit
11
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
tbats sktime sarimax sklearn wrapper pmdarima fbprophet sklearn-api statsmodels time-series transformer data-science model-selection sklearn-library cross-validation sklearn-compatible time-series-forecasting
Created 2020-06-29
284 commits to master branch, last one 2 years ago
serodriguez68
designing-ml-systems-summary serodriguez68
22
115
unknown
2
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must...
mlops model-store feature-store responsible-ai responsible-ml model-selection machine-learning data-distribution feature-engineering artificial-intelligence
Created 2022-07-03
50 commits to main branch, last one about a year ago
tlverse
sl3 tlverse
41
102
gpl-3.0
13
💪 🤔 Modern Super Learning with Machine Learning Pipelines
r stacking r-package regression statistics data-science ensemble-model model-selection machine-learning ensemble-learning
Created 2017-08-08
1,494 commits to master branch, last one about a month ago
automix-llm
automix automix-llm
8
99
apache-2.0
3
Mixing Language Models with Self-Verification and Meta-Verification
prompting model-selection few-shot-learning question-answering large-language-models
Created 2023-10-09
42 commits to main branch, last one 8 days ago
metriculous-ml
metriculous metriculous-ml
11
97
mit
4
Measure and visualize machine learning model performance without the usual boilerplate.
python roc-curve regression statistics data-science deep-learning residual-plot classification model-selection visual-analysis confusion-matrix machine-learning model-comparsion model-evaluation precision-recall-curve
Created 2020-08-04
91 commits to develop branch, last one 3 months ago
mononitogoswami
tsad-model-selection mononitogoswami
13
72
apache-2.0
4
Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
model-selection machine-learning anomaly-detection time-series-analysis unsupervised-learning
Created 2022-09-12
35 commits to master branch, last one about a year ago
BCG-X-Official
sklearndf BCG-X-Official
7
63
apache-2.0
9
DataFrame support for scikit-learn.
python data-science model-selection cross-validation machine-learning pandas-dataframe feature-traceability hyper-parameter-tuning
Created 2020-08-05
1,834 commits to 2.3.x branch, last one about a year ago
JohannesBuchner
BXA JohannesBuchner
19
57
gpl-3.0
8
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
xspec python sherpa spectroscopy model-selection nested-sampling x-ray-astronomy
Created 2014-01-31
583 commits to master branch, last one about a month ago