Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

GitHub: https://github.com/topics/machine-learning
Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
Last updated: 2026-06-23 00:18:14 UTC
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https://github.com/delira-dev/delira

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

deep-learning delira machine-learning medical-images medical-imaging pytorch radiology tensorflow

Last synced: 07 May 2025

https://github.com/Ye-D/PPML-Resource

Materials about Privacy-Preserving Machine Learning

deep-learning machine-learning mpc privacy secure-computation

Last synced: 27 Mar 2025

https://github.com/analysiscenter/radio

RadIO is a library for data science research of computed tomography imaging

computed-tomography data-science deep-learning machine-learning medical-imaging neural-networks tensorflow

Last synced: 21 Jan 2026

https://github.com/Acellera/moleculekit

MoleculeKit: Your favorite molecule manipulation kit

drug-discovery machine-learning molecular-modeling molecular-simulation molecule proteins

Last synced: 09 May 2025

https://github.com/harunurrashid97/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100-days-of-code 100daysofmlcode article data-preprocessing data-science datascience decision-tree eda exploratory-data-analysis implementation infographics linear-regression machine-learning machine-learning-algorithms python regression-algorithms siraj-raval-challenge textsummarization tutorials vizualization

Last synced: 19 Jul 2025

https://github.com/benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games

Last synced: 05 Apr 2025

https://github.com/leandromineti/ml-feynman-experience

A collection of analytics methods implemented with Python on Google Colab

machine-learning notebook numpy python scipy statistics

Last synced: 21 Aug 2025

https://github.com/Dpbm/dreambooth-tutorial

Crie imagens suas usando IA de forma fácil

ai ai-image-generation deep-learning dreambooth ia images inteligencia-artificial machine-learning machine-learning-algorithms spacecoding stable-diffusion tutorial

Last synced: 15 Apr 2025

https://github.com/vertica/verticapy

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

big-data data-science data-visualization machine-learning preparation python python-library vertica

Last synced: 06 Apr 2026

https://github.com/cohere-ai/sandbox-topically

Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.

machine-learning nlp python topic-modeling

Last synced: 13 Apr 2025

https://github.com/milaan9/DataScience_Interview_Questions

My Solutions to 120 commonly asked data science interview questions.

data-analysis data-science interview-preparation interview-questions machine-learning predective-modeling probability product-metrics python-jupyter-notebooks python-tutorial-github python4datascience statistical-inference tutor-milaan9

Last synced: 05 May 2025

https://github.com/milaan9/datascience_interview_questions

My Solutions to 120 commonly asked data science interview questions.

Last synced: 08 Oct 2025

https://github.com/lupantech/MathVista

MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts

ai4math large-language-models large-multimadality-models machine-learning mathematics mathqa science visual-question-answering

Last synced: 16 Mar 2025

https://github.com/jrieke/shape-detection

🟣 Object detection of abstract shapes with neural networks

dataset deep-learning keras machine-learning machine-learning-tutorials neural-networks object-detection object-recognition synthetic-data tutorial

Last synced: 09 Apr 2025

https://github.com/icoxfog417/mlnote-note

機械学習帳を学ぶノート

amazon-sagemaker-lab machine-learning

Last synced: 20 Aug 2025

https://github.com/open-spaced-repetition/fsrs-rs

FSRS for Rust, including Optimizer and Scheduler

fsrs machine-learning rust spaced-repetition-algorithm

Last synced: 03 Apr 2025

https://github.com/rickiepark/introduction_to_ml_with_python

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

deep-learning machine-learning matplotlib numpy pandas python scikit-learn scipy

Last synced: 06 Oct 2025

https://github.com/aqibsaeed/Genetic-CNN

CNN architecture exploration using Genetic Algorithm

deap deep-learning genetic-algorithm machine-learning tensorflow

Last synced: 29 Mar 2025

https://github.com/gsurma/image_generator

DCGAN image generator 🖼️.

dcgan dcgan-tensorflow deep-learning gan generative-adversarial-network jupyter machine-learning neural-network python python3 simpsons simpsons-dataset tensorflow

Last synced: 13 Apr 2025

https://github.com/voxel51/fiftyone-examples

Examples of using FiftyOne

artificial-intelligence computer-vision dev-tools machine-learning

Last synced: 11 Apr 2025

https://github.com/wesselb/stheno

Gaussian process modelling in Python

gaussian-processes machine-learning python

Last synced: 05 Apr 2025

https://github.com/aqibsaeed/genetic-cnn

CNN architecture exploration using Genetic Algorithm

deap deep-learning genetic-algorithm machine-learning tensorflow

Last synced: 09 Apr 2025

https://github.com/matyushkin/ds

👨‍🔬 In Russian: Обновляемая структурированная подборка бесплатных ресурсов по тематикам Data Science: курсы, книги, открытые данные, блоги и готовые решения.

bookshelf cheatsheets courses data data-science machine-learning reddit roadmap russian russian-language statistics

Last synced: 04 Apr 2026

https://github.com/HaliteChallenge/Halite-II

Season 2 of @twosigma's artificial intelligence programming challenge

ai coding coding-challenge competition competitive-programming deep-learning deep-neural-networks deeplearning halite machine-learning machine-learning-algorithms

Last synced: 23 Mar 2025

https://github.com/emgucv/emgutf

Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.

dotnet emgu machine-learning native-bindings tensorflow tensorflow-lite

Last synced: 13 Apr 2025

https://github.com/thinkingmachines/geomancer

Automated feature engineering for geospatial data

bigquery feature-engineering geospatial machine-learning openstreetmap

Last synced: 05 Oct 2025

https://github.com/chr5tphr/zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

attribution deep-learning explainability explainable-ai feature-attribution interpretability interpretable-ai interpretable-ml lrp machine-learning python pytorch xai

Last synced: 09 Apr 2025

https://github.com/sparshg/asteroids-genetic

Interactive AI training simuation

ai hacktoberfest machine-learning neural-network

Last synced: 18 Jan 2026

https://github.com/mirceamironenco/BayesianRecurrentNN

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bayesian-inference deep-learning machine-learning

Last synced: 19 Jul 2025

https://github.com/vatshayan/final-year-project-cryptographic-technique-for-communication-system

Top B.tech/M.tech Final Year Project "Design and Analysis of Cryptographic Technique for Communication System" with Project Code, Report, PPT, Synopsis, IEEE Research Paper and HD Video Explanation

algorithms btech-project cipher-algorithms ciphers college-project college-projects computer-science-project cryptography cryptography-algorithms cryptography-tools cse-project data-science final-year-project final-year-projects finalyearproject ieee machine-learning mtech-project python research-paper

Last synced: 04 Apr 2025

https://github.com/GokuMohandas/data-engineering

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

airflow data-engineering data-warehouse dbt etl machine-learning mlops orchestration

Last synced: 11 Sep 2025

https://github.com/li-plus/dsnet

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

computer-vision detection machine-learning pytorch video-summarization

Last synced: 08 May 2025

https://github.com/BasBuller/PySNN

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

deep-learning dynamic gpu-acceleration gpu-computing machine-learning neural-networks python3 pytorch spiking-neural-networks stdp

Last synced: 07 May 2025

https://github.com/ocademy-ai/machine-learning

Learn AI together, for free. AI learning and teaching resources for everyone.

ai data-engineering data-science deep-learning jupyter jupyter-notebook machine-learning ml mlops python scikit-learn visualization

Last synced: 16 Apr 2025

https://github.com/bat/bat.jl

A Bayesian Analysis Toolkit in Julia

bayesian-inference bayesian-statistics julia machine-learning mcmc posterior prior statistics

Last synced: 08 Apr 2025

https://github.com/stefanonardo/pytorch-esn

An Echo State Network module for PyTorch.

deep-learning echo-state-networks esn machine-learning neural-networks python pytorch recurrent-neural-networks reservoir-computing

Last synced: 01 May 2025

https://github.com/avanetten/simrdwn

Rapid satellite imagery object detection

bounding-boxes deep-learning machine-learning object-detection tensorflow yolo

Last synced: 12 Apr 2025

https://github.com/bshillingford/python-torchfile

Deserialize Lua torch-serialized objects from Python

deep-learning lua machine-learning python torch

Last synced: 05 Apr 2025

https://github.com/coqui-ai/trainer

🐸 - A general purpose model trainer, as flexible as it gets

ai data-science deep-learning machine-learning pytorch

Last synced: 16 May 2025

https://github.com/szilard/gbm-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 06 Mar 2025

https://github.com/datatalksclub/datatalksclub.github.io

The web page for DataTalks.Club

data-science jekyll machine-learning

Last synced: 25 Oct 2025

https://github.com/szilard/GBM-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 14 Mar 2025

https://github.com/vzhou842/neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

guide introduction-to-data-science machine-learning neural-network python

Last synced: 09 Apr 2025

https://github.com/hazyresearch/bootleg

Self-Supervision for Named Entity Disambiguation at the Tail

ai machine-learning named-entity-disambiguation self-supervision

Last synced: 06 Apr 2025

https://github.com/idealo/imageatm

Image classification for everyone.

computer-vision deep-learning image-classification keras machine-learning neural-network tensorflow transfer-learning

Last synced: 24 Aug 2025

https://github.com/learnlib/learnlib

A free, open-source Java library for automata learning algorithms

automata-learning-algorithms java java-library machine-learning

Last synced: 08 Apr 2025

https://github.com/davidberenstein1957/classy-classification

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

few-shot-classifcation hacktoberfest machine-learning natural-language-processing nlp nlu sentence-transformers spacy text-classification

Last synced: 08 Apr 2025

https://github.com/MLSysOps/alaas

A scalable & efficient active learning/data selection system for everyone.

active-learning automl deep-learning machine-learning mlops mlsys pytorch

Last synced: 02 May 2025

https://github.com/SudalaiRajkumar/ML

Codes related to various ML Hackathons

hackathons machine-learning

Last synced: 19 Jul 2025

https://github.com/huaizhengzhang/active-learning-as-a-service

A scalable & efficient active learning/data selection system for everyone.

active-learning automl deep-learning machine-learning mlops mlsys pytorch

Last synced: 09 Apr 2025

https://github.com/ausboss/local-llm-langchain

Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

agi alpaca autogpt jupyter-notebook koboldai langchain language-model llama llm llms machine-learning

Last synced: 20 Jul 2025

https://github.com/HuaizhengZhang/Active-Learning-as-a-Service

A scalable & efficient active learning/data selection system for everyone.

active-learning automl deep-learning machine-learning mlops mlsys pytorch

Last synced: 08 May 2025

https://github.com/robi56/survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

bayesian-inference cancer-research deep-learning gaussian-processes healthcare machine-learning survival-analysis time-series time-to-event

Last synced: 17 Feb 2026

https://github.com/zeno-ml/zeno

AI Data Management & Evaluation Platform

ai data-science evaluation evaluation-framework machine-learning python

Last synced: 18 Apr 2025

https://github.com/mahmoudparsian/data-algorithms-with-spark

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

algorithms bigdata data data-abstractions data-algorithms data-transformation dataframes design design-patterns machine-learning mappers mapreduce monoid partitioning-algorithms pyspark python rdd reducers spark transformations

Last synced: 07 Apr 2025

https://github.com/NVIDIA/physicsnemo-sym

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

deep-learning machine-learning nvidia-gpu physics pytorch

Last synced: 30 Dec 2025

https://github.com/gokumohandas/data-engineering

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

airflow data-engineering data-warehouse dbt etl machine-learning mlops orchestration

Last synced: 12 May 2025

https://github.com/maif/eurybia

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

data-drift data-validation datadrift-classifier domain-classifier drift drift-detection html-report machine-learning model-drift model-monitoring production-machine-learning python

Last synced: 08 Oct 2025

https://github.com/kraiskil/onnx2c

Open Neural Network Exchange to C compiler.

edge-computing machine-learning microcontroller neural-network onnx

Last synced: 25 Oct 2025

https://github.com/allenai/ScienceWorld

ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.

language-model machine-learning reinforcement-learning text-based-game text-based-game-framework

Last synced: 04 Apr 2025

https://github.com/google-aai/sc17

SuperComputing 2017 Deep Learning Tutorial

data-science deep-learning google-cloud-platform machine-learning tutorial

Last synced: 19 Jul 2025

https://github.com/benedekrozemberczki/splitter

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

clustering community-detection deep-learning deep-neural-network deepwalk ego-splitting factorization gensim graph-embedding graph-neural-network graph-representation-learning implicit-factorization machine-learning network-embedding node-embedding node2vec overlapping-community-detection pytorch word-vector word2vec

Last synced: 07 May 2025

https://github.com/gia-uh/autogoal

A Python framework for program synthesis with a focus on Automated Machine Learning.

automl framework machine-learning optimization program-synthesis python3

Last synced: 18 Jan 2026

https://github.com/sciml/reservoircomputing.jl

Reservoir computing utilities for scientific machine learning (SciML)

differential-equations echo-state-networks julia machine-learning reservoir-computing rnn scientific-machine-learning sciml

Last synced: 02 Apr 2026

https://github.com/tusharsarkar3/xbnet

Boosted neural network for tabular data

deep-learning hacktoberfest machine-learning pytorch

Last synced: 05 Apr 2025

https://github.com/render-examples/fastai-v3

Starter app for fastai v3 model deployment on Render

fastai machine-learning model-deployment render

Last synced: 21 Jun 2025

https://github.com/Speedml/speedml

Speedml is a Python package to speed start machine learning projects.

data-science machine-learning python

Last synced: 09 May 2025

https://github.com/icoxfog417/graph-convolution-nlp

Graph Convolution Network for NLP

graph-convolutional-networks machine-learning natural-language-processing nlp

Last synced: 01 May 2025

https://github.com/speedml/speedml

Speedml is a Python package to speed start machine learning projects.

data-science machine-learning python

Last synced: 12 Jul 2025

https://github.com/g8a9/ferret

A python package for benchmarking interpretability techniques on Transformers.

benchmarking interpretability machine-learning transformers

Last synced: 09 Apr 2026

https://github.com/runpod/runpod-python

🐍 | Python library for RunPod API and serverless worker SDK.

api artificial-intelligence cloud-gpu gpu machine-learning runpod sdk-python serverless

Last synced: 14 Mar 2025

https://github.com/ajbrock/FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers

deep-learning densenet machine-learning memes neural-networks pytorch vgg16 wide-residual-networks

Last synced: 08 May 2025

https://github.com/swift-ai/neuralnet

An artificial neural network written in Swift

deep-learning machine-learning neural-network swift

Last synced: 21 Aug 2025

https://github.com/rhiever/sklearn-benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

benchmarking machine-learning python scikit-learn

Last synced: 21 Aug 2025

https://github.com/rust-ml/book

The Rust Machine Learning Book

machine-learning rust

Last synced: 16 Oct 2025

https://github.com/ausboss/Local-LLM-Langchain

Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

agi alpaca autogpt jupyter-notebook koboldai langchain language-model llama llm llms machine-learning

Last synced: 06 Apr 2025

https://github.com/benedekrozemberczki/Splitter

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Last synced: 17 Apr 2025

https://github.com/dair-ai/emotion_dataset

:smile: Dataset for Emotion Recognition Research

dataset machine-learning nlp pytorch

Last synced: 25 Jun 2025

https://github.com/spcl/ncc

Neural Code Comprehension: A Learnable Representation of Code Semantics

code-analysis embedding-based embedding-models embeddings llvm-ir machine-learning neural-networks

Last synced: 12 Apr 2025

https://github.com/ajbrock/freezeout

Accelerate Neural Net Training by Progressively Freezing Layers

deep-learning densenet machine-learning memes neural-networks pytorch vgg16 wide-residual-networks

Last synced: 05 Apr 2025

https://github.com/UBC-MDS/public

Public documents for the Master of Data Science program at the University of British Columbia

algorithms-and-data-structures education machine-learning teaching teaching-materials

Last synced: 13 Jul 2025

https://github.com/vatshayan/live-chatbot-for-final-year-project

Chatbot system for Final Year Project. Chatbot made in Python using Natural Language Toolkit especially Machine Learning. Easy to Understand and Implement.

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Last synced: 23 Aug 2025

https://github.com/djsutherland/opt-mmd

Learning kernels to maximize the power of MMD tests

generative-adversarial-network hypothesis-testing kernel-methods machine-learning maximum-mean-discrepancy python shogun statistical-tests tensorflow theano

Last synced: 31 Jul 2025

https://github.com/A3Data/hermione

ML made simple

data-science hermione machine-learning python

Last synced: 27 Mar 2025

https://github.com/maxim5/cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

cs229 machine-learning neural-networks stanford-university

Last synced: 09 Apr 2025

https://github.com/codait/deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

cancer-research deep-learning machine-learning medical-imaging medicine

Last synced: 10 May 2025

https://github.com/dsaurus/tensor4d

This is the official implementation of Tensor4D: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering.

3d-reconstruction 4d machine-learning nerf pytorch rendering

Last synced: 06 May 2025

https://github.com/tirendazacademy/pandas-tutorial

Jupyter Notebooks and Data Sets for Pandas Library

data data-analysis data-preprocessing data-science machine-learning pandas pandas-dataframe pandas-datareader pandas-library pandas-python pandas-series pandas-tricks-for-data-manipulation pandas-tutorial python

Last synced: 06 Apr 2025

https://github.com/pycroscopy/atomai

Deep and Machine Learning for Microscopy

deep-kernel-learning deep-learning electron-microscopy ensemble-learning fully-convolutional-networks google-colaboratory imaging jupyter-notebook machine-learning materials materials-science microscopy multivariate-analysis pytorch scanning-probe-microscopy semantic-segmentation variational-autoencoders

Last synced: 04 Apr 2025

https://github.com/kwotsin/tensorflow-xception

TensorFlow implementation of the Xception Model by François Chollet

computer-vision deep-learning machine-learning tensorflow tensorflow-xception xception-model

Last synced: 24 Jul 2025

https://github.com/saimadhu-polamuri/DataAspirant_codes

Complete machine learning model codes

data-mining data-science machine-learning python

Last synced: 13 Jul 2025

https://github.com/SciML/ReservoirComputing.jl

Reservoir computing utilities for scientific machine learning (SciML)

differential-equations echo-state-networks julia machine-learning reservoir-computing rnn scientific-machine-learning sciml

Last synced: 01 May 2025

https://github.com/chabane/bigdata-playground

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

angular apache-flink apache-spark avro big-data docker graphql hadoop hbase kafka kops machine-learning mongodb nodejs parquet python scala spark-sql spark-streaming twitter-api

Last synced: 13 Apr 2025

https://github.com/Chabane/bigdata-playground

angular apache-flink apache-spark avro big-data docker graphql hadoop hbase kafka kops machine-learning mongodb nodejs parquet python scala spark-sql spark-streaming twitter-api

Last synced: 28 Apr 2025

https://github.com/mvlearn/mvlearn

Python package for multi-view machine learning

data-science machine-learning multiview-learning python

Last synced: 21 Oct 2025

https://github.com/nabla-ml/nabla

Build and train Neural Networks in Mojo

ai arrays compiler jax machine-learning modular mojo numpy pytorch

Last synced: 01 Apr 2026

https://github.com/ahammadmejbah/fueling-ambitions-via-book-discoveries

This series uncovers the most valuable insights from groundbreaking books in AI, Machine Learning, and Data Science, helping you accelerate your learning journey. Each episode transforms complex theories into practical knowledge, making advanced topics more accessible and actionable.

data-science data-structures data-visualization deep-learning generative-ai machine-learning