scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2026-06-11 00:27:27 UTC
- JSON Representation
https://github.com/sayakpaul/generating-categories-from-arxiv-paper-titles
This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv article/paper titles
arxiv deep-learning gcp natural-language-processing scikit-learn tensorflow wandb
Last synced: 07 May 2025
https://github.com/jorgemunozl/physical_simulations
A set of physics/mathematics scripts for different concepts.
mathematics nn numpy physics python scikit-learn sympy
Last synced: 04 May 2026
https://github.com/veb-101/machine-learning-algorithms
One notebook to learn it all - Algorithms from scratch
matplotlib numpy pandas python-3-7 scikit-learn scipy seaborn
Last synced: 27 Aug 2025
https://github.com/chongyasong/youml
YouML: A Machine Learning Toolkit
ai artificial-intelligence big-data data-mining data-science machine-learning matplotlib numpy pandas python scikit-learn scipy
Last synced: 11 Apr 2025
https://github.com/snehankekre/streamlit-yellowbrick
Streamlit component for the Yellowbrick visualization and model diagnostics library
data-visualization machine-learning matplotlib python scikit-learn streamlit visualization yellowbrick
Last synced: 24 Oct 2025
https://github.com/zeke/github-avatars
A machine learning model to detect whether a GitHub user has a custom or default avatar
cog machine-learning replicate scikit-learn
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https://github.com/rohitinu6/neolung
Lung Cancer Prediction using Machine Learning Algorithms
adaboost data-analysis decision-trees gradientboosting knn logistic-regression machine-learning naivebayes neuralnetworks python randomforest scikit-learn svm xgboost
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https://github.com/genfifth/cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn
Last synced: 10 Apr 2025
https://github.com/amirhosseinhonardoust/underwriting-decision-safety-lab
A decision-safety lab for loan approval: trains a baseline classifier, calibrates probabilities (ECE/Brier), sweeps confidence thresholds to build a coverage, quality frontier and outputs a defensible abstention policy (auto-decide vs review). Includes a Streamlit dashboard for report cards, triage UI, and data quality checks.
abstention calibration classification credit-risk data-quality data-science decision-policy loan-approval machine-learning mlops model-evaluation monitoring pandas reliability responsible-ai scikit-learn selective-classification streamlit uncertainty underwriting
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https://github.com/shukkkur/tennis-match-prediction
Predicting the winner of the Tennis match
machine-learning prediction python scikit-learn tennis
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https://github.com/kenlimmj/fightin-words
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
bayesian-methods evaluation-metrics nlp scikit-learn
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https://github.com/chandraprakash-bathula/apparel-recommendations
This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.
boxplot cnn-keras data-analysis data-science deep-learning linear-regression machine-learning numpy pandas scatter-plot scikit-learn svm tensorflow xgboost
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https://github.com/mantreshkhurana/twitter-toxicity-detection-tkinter
This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.
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https://github.com/dalageo/ml-titanicshipwreck
Exploring the World's Most Renowned Shipwreck 🚢
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https://github.com/the-akira/datascience
Coleção de recursos sobre Ciência de Dados com Python.
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https://github.com/doubleml/doubleml-serverless
DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture
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https://github.com/anaclumos/heart-diagnosis-engine
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data-science machine-learning pandas python scikit-learn
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https://github.com/analyzable-fr/patch-based-texture-inpainting
Patch-based inpainting Python library
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https://github.com/qoyyuum/forex-mt5-bot
To auto learn, analyze and predict the Forex Market and autotrade with Metatrader 5 API and Python
docker docker-compose metatrader5 python3 pytorch scikit-learn
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https://github.com/thieu1995/intelelm
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
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https://github.com/joeyorlando/self_driving_car
Neural network/Haar cascade trained self-driving RC car using Raspberry Pi
haar-cascade javascript machine-learning neural-network opencv python python3 raspberry-pi raspberry-pi-camera raspberry-pi-car scikit-learn scikitlearn-machine-learning unsupervised-learning
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https://github.com/snoop2head/instagram_hashtag_analysis
📷 Crawl and Analyze Instagram Hashtag Data: KoNLPY to gensim word2Vec & scikit-learn TF-IDF
adjective gensim gensim-word2vec instagram-hashtag-analysis konlpy natural-language-processing noun scikit-learn scikitlearn tf-idf word2vec
Last synced: 03 Apr 2025
https://github.com/rasmusrynell/predicting-nhl
The project explores the idea of using different machine learning techniques to determine different stats in NHL games.
ai algorithms data-science database machine-learning ml nhl nhl-api python scikit-learn sports sports-analytics sports-stats sportsanalytics
Last synced: 14 Apr 2025
https://github.com/ashishpatel26/regressionmetrics
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
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https://github.com/aicorsair/dataquest-data-science-analysis-projects
A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.
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https://github.com/supercowpowers/scp-labs
SCP Labs (Open Source Team for SuperCowPowers)
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https://github.com/torkamanilab/zoish
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly
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https://github.com/djeada/numerical-methods
Comprehensive library of numerical methods implemented in Python. It includes solutions to various mathematical problems, detailed explanations of each method, illustrative examples, and comparisons with prominent scientific libraries like Numpy, Scikit-Learn, and SciPy.
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Reddit Gender Text-Classification.
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https://github.com/ncar/bridgescaler
Bridge your scikit-learn scaler parameters between Python sessions and users. Distribute your scaling across multiple processes and data subsets.
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https://github.com/mohd-faizy/career-track-data-scientist-with-python
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
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https://github.com/vc1492a/henosis
A Python framework for deploying recommendation models for form fields.
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https://github.com/tslu1s/atlantic
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
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https://github.com/edikedik/eboruta
Flexible and transparent Python Boruta implementation
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https://github.com/axegon/sklite
Transpile scikit-learn models to Flutter
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Last synced: 23 Jul 2025
https://github.com/ashishpatel26/leetcode_solution
LeetCode Solution
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https://github.com/resotto/laplace
LSTM Model to predict BTCUSD ticker values
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Last synced: 02 Jul 2025
https://github.com/anquetos/openclassrooms
Projets du parcours Data Analyst OpenClassrooms
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https://github.com/yu9824/kennard_stone
This is an algorithm for evenly partitioning.
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https://github.com/r-m-n/sklearn-deltatfidf
DeltaTfidfVectorizer for scikit-learn
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https://github.com/starkblaze01/sentiment-analyzer
Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React
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Last synced: 16 Mar 2025
https://github.com/chrislemke/sk-transformers
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
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https://github.com/tsg405/applied-machine-learning-in-python
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
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https://github.com/chawyehsu/wende
🍎Wende Chinese QA system (experimental)
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https://github.com/omadson/scikit-mlm
Minimal Learning Machine implementation using the scikit-learn API.
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https://github.com/vuthanhhai2302/apply-machine-learning-on-data-analytics
My project of applied machine learning on data analytics, using pandas, numpy and scikit-learn to analyze data
data-analysis numpy pandas scikit-learn
Last synced: 28 Apr 2025
https://github.com/jeffzi/pandas-select
Supercharged pandas indexing
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https://github.com/azure/mlops-starter-sklearn
Azure Machine Learning と GitHub を利用した MLOps のサンプルコード
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https://github.com/hollance/ignition
PyTorch helper code
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https://github.com/akoury/ml-helper
Python library with helpers to speed up and structure machine learning projects.
data data-visualization machine-learning ml python scikit-learn sklearn
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https://github.com/nossbigg/fyp_py
Source code for A Study on Rumour Detection on Online Social Networks final year research project
machine-learning nltk python scikit-learn sentiment-analysis twitter
Last synced: 17 Jun 2025
https://github.com/tushar50896/cuss_inspect
A basic and simple yet powerful Python library to detect toxicity/profanity of a review or list of reveiws.
abusive-language-detection cusswords logistic-regression profanity profanity-detection python review-checks scikit-learn swearing-detector toxic-comment-classification
Last synced: 05 Jul 2025
https://github.com/sarincr/machine-learning-python-bootcamp
Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
algorithms artificial-intelligence deep-learning logistic-regression machine-learning machine-learning-algorithms machinelearning machinelearning-python matplotlib neural-network numpy pandas python python3 regression scikit-learn scipy sklearn statistics support-vector-machine
Last synced: 08 Jul 2025
https://github.com/contextlab/data-wrangler
Wrangle messy numerical, image, and text data into consistent well-organized formats
data data-analysis data-science data-wrangling hugging-face image-data machine-learning nlp numpy pandas python scikit-learn
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https://github.com/zainulmustafa/stock-prediction-rnn-lstm
Stock prediction done using RNN and LTSM to resolve vanishing gradient problem. Dataset used is obtained from Pakistan Stock Exchange
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Last synced: 31 Jul 2025
https://github.com/sshh12/csgo-market-analysis
Some interesting stats from the CS:GO Steam community market.
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Last synced: 19 Mar 2025
https://github.com/lazarust/sklx
A scikit-learn compatible neural network library that wraps MLX.
Last synced: 07 May 2025
https://github.com/isala404/r2d2
Line Following Robot Powered By OpenCV and Machine Learing
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Last synced: 07 Sep 2025
https://github.com/herrfeder/ai_cybersecurity_ids_poc
Winning Contribution of Michael Schwabe and David Lassig to BWI Data Analytics Hackathon 2020 in the Category Cyber Security. Proof of Concept Intrusion Detection using Zeek with selfmade MachineLearning in a nice WebApp.
circleci cloudformation cyber-security dash docker-container intrusion-detection keras kubernetes machine-learning plotly python scikit-learn tensorflow zeek
Last synced: 13 Apr 2025
https://github.com/gagolews/analiza_danych_w_jezyku_python
M. Gągolewski, M. Bartoszuk, A. Cena, Przetwarzanie i analiza danych w języku Python, PWN, 2016
data-science matplotlib numpy pandas polski python scikit-learn
Last synced: 14 Jul 2025
https://github.com/qiancao/hskl
A library for hyperspectral image analysis using scikit-learn.
hyperspectral image-analysis-toolbox machine-learning scikit-learn
Last synced: 13 Apr 2025
https://github.com/ashishpatel26/rapidsai_machine_learning_on_gpu
Rapidsai_Machine_learnring_on_GPU
cudf cuml dask dask-ml deep-learning machine-learning machine-learning-algorithms nvidia pandas scikit-learn sklearn
Last synced: 14 Oct 2025
https://github.com/alexioannides/bodywork-mlops-demo
Demonstrating how Bodywork can be used to deploy a simulation of the lifecycle of a train-and-serve ML pipeline, responding to new data undergoing concept drift.
aws data-science docker kubernetes machine-learning mlops numpy python scikit-learn
Last synced: 29 Oct 2025
https://github.com/greed2411/plinearregression
Scikit-Learn's linear regression extended with p-values.
hypothesis-testing p-values python3 regression scikit-learn
Last synced: 24 Aug 2025
https://github.com/time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!
data-science machine-learning python scikit-learn time-series time-series-classification time-series-clustering time-series-regression
Last synced: 02 Apr 2026
https://github.com/bnediction/scboolseq
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
bioinformatics boolean-networks computational-biology machine-learning pandas python3 scikit-learn scrna-seq single-cell-rna-seq
Last synced: 09 Mar 2026
https://github.com/markdouthwaite/serverless-scikit-learn-demo
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
data-science google-cloud google-cloud-function machine-learning machine-learning-api machine-learning-projects scikit-learn serverless tutorial
Last synced: 25 Jul 2025
https://github.com/talha1503/stackoverflow_questions_tagger
Predicting tags for StackOverflow Questions
beautifulsoup scikit-learn scikit-multilearn
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https://github.com/wilmeragsgh/adabnn
Code related to thesis work: "AdaBnn: Binarized Neural Networks trained with adaptive structural learning"
deep-learning keras neural-networks scikit-learn tensorflow
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https://github.com/brackendev/scikit-learn-hy
An introduction to scikit-learn (machine learning in Python) and Hy (a Lisp dialect embedded in Python)
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https://github.com/34j/boost-loss
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
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https://github.com/sayakpaul/dockerml
Contains my explorations of using Docker to automate ML workflows.
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https://github.com/ayrna/dlordinal
Open-source Python toolkit focused on deep learning with ordinal methodologies
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https://github.com/hairymax/yandex.practicum.datascience
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catboost computer-vision data-analysis data-science keras lightgbm matplotlib nltk numpy pandas python scikit-learn seaborn tensorflow xgboost
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https://github.com/jlgarridol/sslearn
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https://github.com/mrankitgupta/python-libraries-roadmap
I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into my journey of Data Science.
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https://github.com/smohiudd/pedestrian-collision-prediction
Pedestrian collision prediction using GeoVex embeddings and linear classifier
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https://github.com/lai-bluejay/diego
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
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https://github.com/posit-dev/orbital
Turn SciKitLearn pipelines into SQL
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https://github.com/claudiucreanga/hands-on-machine-learning-scikit-learn-tensorflow-oreilly-geron
Book Hands on Machine Learning with Scikit-Learn and Tensorflow from O'reilly - Geron
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https://github.com/adrienc21/vulpes
Vulpes: Test many classification, regression models and clustering algorithms to see which one is most suitable for your dataset
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https://github.com/ammirsm/automatic-pancake
Active learning agent-based-simulation for systematic reviews and other types of technology assisted review (TAR) which will include PDF documents and other meta-datas in itself and it's based on both fulltext-screening decisions and title-screening decisions.
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https://github.com/learnables/torchml
Scikit-learn implemented with PyTorch
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https://github.com/reil-uconn/modular-ml
Modular, fast, and reproducible ML experimentation built for R&D.
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https://github.com/gbolmier/sklearn-neighbors-benchmark
:bar_chart: Scikit-learn nearest neighbors algorithms benchmark
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https://github.com/integeralex/netflix-recommendation-system
This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python
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https://github.com/cyberfantics/bitcoin-price-prediction
A deep learning-based web app for predicting future Bitcoin prices using historical data. Users can interactively select prediction days and view recent price data in real-time.
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https://github.com/lpfann/fri
Python implementation of the feature relevance interval (FRI) algorithm
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https://github.com/octo-technology/ddui
Airflow's plugin for Data Science pipeline visualisation
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https://github.com/gaussalgo/anlearn
anlearn - Anomaly learn
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https://github.com/prakharchoudhary/mlworld
A collection of simple machine learning projects, that got me started in this wonderful domain!
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https://github.com/sdpython/papierstat
Lectures on Machine Learning (French)
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https://github.com/yash22222/ibm-csrbox-internship-project
The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects
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https://github.com/csfelix/sales-prediction
🌱 Predicting Number of Sales per Product 🌱
data-science datascience gnu lstm matplotlib numpy pandas python random-forest-regressor scikit-learn seaborn sklearn xgboost
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https://github.com/tlapusan/woodpecker
A python library used for tree structure interpretation.
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https://github.com/tatevkaren/deep-learning-for-data-science
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
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https://github.com/marty1885/scirknn
Convert and run scikit-learn MLPs on Rockchip NPU.
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https://github.com/riccorl/ml-malware-classifier
Machine Learning Android Malware Classifier
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Last synced: 14 Apr 2025
https://github.com/rebelosa/random-subgroups
A machine learning python package for learning ensembles of subgroups for predictive tasks.
interpretability interpretable-machine-learning pysubgroup python python-package python3 random-forest scikit-learn subgroup-discovery subgroups
Last synced: 30 Jul 2025