15 results found Sort:

BayesWitnesses
m2cgen BayesWitnesses
236
2.7k
mit
50
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
c r go php java ruby rust csharp python haskell xgboost dartlang lightgbm lightning javascript statsmodels scikit-learn machine-learning statistical-learning
Created 2019-01-13
376 commits to master branch, last one about a year ago
mars-project
mars mars-project
323
2.7k
apache-2.0
92
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
ray dask numpy joblib pandas python tensor pytorch xgboost lightgbm dataframe tensorflow statsmodels scikit-learn machine-learning
Created 2018-12-05
1,297 commits to master branch, last one 7 months ago
dipanjanS
practical-machine-learning-with-python dipanjanS
1.6k
2.2k
apache-2.0
160
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
nltk keras spacy pandas python jupyter prophet notebook clustering tensorflow statsmodels scikit-learn deep-learning classification computer-vision jupyter-notebook machine-learning time-series-analysis natural-language-processing convolutional-neural-networks
Created 2017-07-29
137 commits to master branch, last one 2 months ago
unslothai
hyperlearn unslothai
121
1.6k
apache-2.0
87
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
gpu python tensor pytorch research statistics statsmodels data-science econometrics optimization scikit-learn data-analysis deep-learning neural-network machine-learning regression-models
Created 2018-08-27
260 commits to master branch, last one about a year ago
tirthajyoti
Stats-Maths-with-Python tirthajyoti
355
792
mit
37
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
anova numpy scipy pandas python analytics clustering matplotlib statistics mathematics probability statsmodels data-science machine-learning hypothesis-testing numerical-analysis bayesian-statistics normal-distribution inferential-statistics mathematical-programming
Created 2017-11-06
141 commits to master branch, last one 2 years ago
easystats
report easystats
66
667
other
17
:scroll: :tada: Automated reporting of objects in R
r apa anovas models report rstats reports bayesian describe automatic easystats r-package reporting manuscript scientific statsmodels hacktoberfest automated-report-generation
Created 2019-01-21
959 commits to main branch, last one a day ago
jthomperoo
predictive-horizontal-pod-autoscaler jthomperoo
29
328
apache-2.0
8
Horizontal Pod Autoscaler built with predictive abilities using statistical models
go golang python operator replicas autoscaler kubernetes autoscaling predictions statsmodels operator-sdk operator-framework statistical-models predictive-analytics horizontal-pod-autoscaler
Created 2019-12-08
56 commits to master branch, last one 11 months ago
carlomazzaferro
scikit-hts carlomazzaferro
38
218
mit
16
Hierarchical Time Series Forecasting with a familiar API
fbprophet statsmodels time-series scikit-learn machine-learning hierarchical-data time-series-analysis exponential-smoothing
Created 2019-11-23
237 commits to master branch, last one about a year ago
SoftwareAG
nyoka SoftwareAG
43
183
apache-2.0
14
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
pmml nyoka python xgboost lightgbm statsmodels scikit-learn pmml-exporter python-library machine-learning
Created 2018-08-23
846 commits to master branch, last one 10 months ago
Mogeng
IOHMM Mogeng
34
155
bsd-3-clause
14
Input Output Hidden Markov Model (IOHMM) in Python
python statsmodels time-series scikit-learn linear-models graphical-models machine-learning sequence-labeling hidden-markov-model supervised-learning sequence-to-sequence unsupervised-learning semi-supervised-learning
Created 2016-02-12
83 commits to master branch, last one about a year 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
eigenfoo
tests-as-linear eigenfoo
23
82
cc-by-4.0
6
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
scipy python statsmodels linear-models statistical-tests
Created 2019-06-23
37 commits to master branch, last one 4 years ago
ajitsingh98
Time-Series-Analysis-and-Forecasting-with-Python ajitsingh98
36
82
mit
5
Time Series Analysis and Forecasting in Python
numpy stats pandas sarimax python-3 fbprophet stats-api arima-model statsmodels moving-average prophet-facebook arima-forecasting lstm-neural-networks time-series-analysis univariate-timeseries multivariate-timeseries time-series-forecasting holt-winters-forecasting machine-learning-algorithms deep-learning-for-time-series
Created 2019-12-29
39 commits to master branch, last one 3 months ago
30lm32
ml-time-series-analysis-on-sales-data 30lm32
22
52
unknown
3
Time Series Decomposition techniques and random forest algorithm on sales data
sales seaborn sklearn datamining statsmodels machinelearning regression-trees sales-forecasting time-series-analysis time-series-decomposition
Created 2018-03-16
10 commits to master branch, last one 2 years ago
thekioskman
mean_reversion_strategies thekioskman
15
32
unknown
2
Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.
pandas python statistics statsmodels time-series
Created 2022-04-10
68 commits to main branch, last one about a year ago