JSchoeck's Stars
pm4py/pm4py-core
Public repository for the PM4Py (Process Mining for Python) project.
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
google/or-tools
Google's Operations Research tools:
eomahony/Numberjack
Python Combinatorial Optimisation Platform
scipopt/PySCIPOpt
Python interface for the SCIP Optimization Suite
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
TheWoops/awesome-processmining
A collection of awesome resources for process mining
caglarmert/awesome-predictive-maintenance
Curated list of predictive maintenance research and repositories.
sktime/sktime
A unified framework for machine learning with time series
artefactory/streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
chiachong/cry-for-help
A data labelling tool based on Streamlit.
tdda/tdda
Test-Driven Data Analysis Functions
scottclowe/python-template-repo
Template repository for Python projects
rochacbruno/python-project-template
DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
KevinHooah/ML-model-hyperparameter-tuning
A handy tool for common machine learning models' hyper-parameter tuning.
wiktorlazarski/ai-awesome-project-template
🤖 Project template for your next awesome AI project. 🦾
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
alteryx/featuretools
An open source python library for automated feature engineering
dslp/dslp-repo-template
Template repository for data science lifecycle project
dslp/dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
TheAlgorithms/Python
All Algorithms implemented in Python
100/Solid
🎯 A comprehensive gradient-free optimization framework written in Python
mbunse/mlcomops
MohammadFneish7/Keras_LSTM_Diagram
Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
abb-motors-and-generators/smart-sensor-api-client
plthiyagu/DataScience-Enterprise-Architect
Self Learning