Artificial Intelligence Deep Learning Machine Learning TutorialsA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Orange3π π π‘ Orange: Interactive data analysis
PorndetectorPorn images detector with python, tensorflow, scikit-learn and opencv.
Tune SklearnA drop-in replacement for Scikit-Learnβs GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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HummingbirdHummingbird compiles trained ML models into tensor computation for faster inference.
Sklearn OnnxConvert scikit-learn models and pipelines to ONNX
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
LaleLibrary for Semi-Automated Data Science
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
ImodelsInterpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
PqkmeansFast and memory-efficient clustering
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
SkggmScikit-learn compatible estimation of general graphical models
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Scikit PlotAn intuitive library to add plotting functionality to scikit-learn objects.
StackingStacked Generalization (Ensemble Learning)
Pymc Learnpymc-learn: Practical probabilistic machine learning in Python
EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
Ml Workspaceπ All-in-one web-based IDE specialized for machine learning and data science.
PymoA library for machine learning research on motion capture data
Dash SvmInteractive SVM Explorer, using Dash and scikit-learn
M2cgenTransform 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
PyensembleAn implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
Practical Machine Learning With PythonMaster 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.
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Hep mlMachine Learning for High Energy Physics.