31 results found Sort:

ray-project
ray ray-project
5.4k
31.9k
apache-2.0
473
Ray is a unified framework for scaling AI and Python applications. 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
22,000 commits to master branch, last one 8 hours ago
EpistasisLab
tpot EpistasisLab
1.6k
9.6k
lgpl-3.0
287
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 4 months ago
DistrictDataLabs
yellowbrick DistrictDataLabs
554
4.2k
apache-2.0
104
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 11 months ago
rorysroes
SGX-Full-OrderBook-Tick-Data-Trading-Strategy rorysroes
646
1.9k
unknown
95
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 about a year ago
balavenkatesh3322
CV-pretrained-model balavenkatesh3322
190
1.3k
mit
37
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
216
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
92
886
apache-2.0
31
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
83
733
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
2,208 commits to main branch, last one 6 days ago
smartcorelib
smartcore smartcorelib
76
672
apache-2.0
15
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
405 commits to development branch, last one 3 months ago
Western-OC2-Lab
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Western-OC2-Lab
108
614
mit
68
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 about a month ago
cerlymarco
shap-hypetune cerlymarco
71
549
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 4 months ago
BCG-X-Official
facet BCG-X-Official
46
501
apache-2.0
12
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 4 months ago
SimonBlanke
Hyperactive SimonBlanke
41
494
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
2,287 commits to master branch, last one 26 days ago
yzkang
My-Data-Competition-Experience yzkang
68
382
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
75
336
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
1,381 commits to master branch, last one a day ago
rodrigo-arenas
Sklearn-genetic-opt rodrigo-arenas
73
284
mit
5
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
486 commits to master branch, last one about a month ago
WenjieZ
TSCV WenjieZ
42
246
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
41
211
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
Cibiv
IQ-TREE Cibiv
45
183
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 3 years ago
EpistasisLab
tpot2 EpistasisLab
22
161
lgpl-3.0
7
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
266 commits to main branch, last one about a month ago
heidelbergcement
hcrystalball heidelbergcement
19
152
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
christophmark
bayesloop christophmark
26
136
mit
12
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 2 months ago
JohannesBuchner
UltraNest JohannesBuchner
27
133
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
738 commits to master branch, last one 7 days ago
tlverse
sl3 tlverse
40
99
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
1,488 commits to master branch, last one about a month ago
metriculous-ml
metriculous metriculous-ml
11
94
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
84 commits to develop branch, last one 5 months ago
automix-llm
automix automix-llm
7
93
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
41 commits to main branch, last one 7 months ago
BCG-X-Official
sklearndf BCG-X-Official
7
64
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 7 months ago
serodriguez68
designing-ml-systems-summary serodriguez68
13
61
unknown
1
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
mononitogoswami
tsad-model-selection mononitogoswami
10
54
apache-2.0
3
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 6 months ago
JohannesBuchner
BXA JohannesBuchner
17
53
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
581 commits to master branch, last one about a month ago