All Categories β†’ Machine Learning β†’ scikit-learn

Top 354 scikit-learn open source projects

Artificial Intelligence Deep Learning Machine Learning Tutorials
A 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.
Porn images detector with python, tensorflow, scikit-learn and opencv.
Tune Sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Text Classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Svm mnist digit classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
Amazing Feature Engineering
Feature 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.
Clustering routines for the unit sphere
Auto viml
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Hummingbird compiles trained ML models into tensor computation for faster inference.
Sklearn Onnx
Convert scikit-learn models and pipelines to ONNX
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Data Science Projects With Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
An 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.
Interpretable ML package πŸ” for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Sklearn Benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Bet On Sibyl
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Fast and memory-efficient clustering
Scikit-learn compatible estimation of general graphical models
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Scikit Plot
An intuitive library to add plotting functionality to scikit-learn objects.
Python Machine Learning Book 3rd Edition
The "Python Machine Learning (3rd edition)" book code repository
Machine Learning And Reinforcement Learning In Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Stacked Generalization (Ensemble Learning)
Pymc Learn
pymc-learn: Practical probabilistic machine learning in Python
Stability Selection
scikit-learn compatible implementation of stability selection.
Python Clustering Exercises
Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
A library for machine learning research on motion capture data
Dash Svm
Interactive SVM Explorer, using Dash and scikit-learn
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
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
Ml Forex Prediction
Predicting Forex Future Price with Machine Learning
Practical Machine Learning With Python
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.
Gesture Recognition
βœ‹ Recognizing "Hand Gestures" using OpenCV and Python.
Qlik Py Tools
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Hep ml
Machine Learning for High Energy Physics.
Pydata Chicago2016 Ml Tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
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