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: 2026-07-06 00:18:12 UTC
- JSON Representation
https://github.com/shz9/csc2541-ml-project
Modeling Uncertainty in RNNs for Time Series Forecasting
gaussian-processes keras machine-learning rnn time-series
Last synced: 01 Jul 2026
https://github.com/open-edge-platform/annflux
A research tool for exploring and annotating large datasets with Active Learning
active-learning annotation classification clustering data-exploration large-scale machine-learning multilabel-clustering
Last synced: 08 Feb 2026
https://github.com/axect/neural_hamilton
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
classical-mechanics deep-learning hamiltonian-dynamics machine-learning neural-operator operator-learning
Last synced: 25 Feb 2026
https://github.com/transbiozi/biomm
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
biomm dna-methylation elasticnetregression epigenomics gene-expression genomics go-pathway gwas high-dimensional kegg-pathway machine-learning omics phenotype-prediction random-forest svm transcriptomics
Last synced: 24 Feb 2026
https://github.com/igreat/fast-style-transfer
PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠
art artificial-intelligence computer-vision deep-learning fast-style-transfer machine-learning python pytorch style-transfer video-style-transfer
Last synced: 16 Oct 2025
https://github.com/vinhkhuc/lbfgs4j
Java version of liblbfgs: http://www.chokkan.org/software/liblbfgs/
java machine-learning optimization
Last synced: 29 Jan 2026
https://github.com/sachinkalsi/html_tag_annotator
A Machine Learning tool to create the training dataset very quickly & easily by using a smart chrome extension
annotations chrome-extension generate-training-data harvest html-tag-annotation html-text-annotator machine-learning scraper text-annotation train-dataset unstructured-data
Last synced: 28 Oct 2025
https://github.com/ait-testbed/attackbed
The AttackBed is a simulated enterprise network with numerous vulnerabilities. Attacks in this testbed are executed automatically and cover a variety of tactics and techniques of the MITRE ATT&CK enterprise framework.
aecid ai ait ansible atb attackmate dataset environment machine-learning openstack research security simulation terraform terragrunt testbed vulnerability
Last synced: 02 Mar 2026
https://github.com/solegalli/feature-selection-with-feature-engine-book
Code repository for the book Feature engineering with Feature-engine
feature-selection feature-selection-methods machine-learning machine-learning-algorithms machine-learning-tutorials
Last synced: 16 Oct 2025
https://github.com/cahya-wirawan/deepracer-tools
Some tools for AWS Deepracer
aws deepracer machine-learning reinforcement-learning
Last synced: 15 Oct 2025
https://github.com/drew2323/v2trading
V2Trading platform - live trading engine, backtesting and research tool.
algotrading backtesting-engine machine-learning quant trading
Last synced: 05 Mar 2026
https://github.com/akkefa/must-read-books-of-all-time
Must Read Books of All Time
algorithm books datastructures deep-learning machine-learning statistics
Last synced: 23 Jan 2026
https://github.com/jishanshaikh4/alpha-net
Alpha-Net: Architecture, Models, and Applications (https://arxiv.org/abs/2007.07221)
alpha-net computer-vision machine-learning
Last synced: 28 Jan 2026
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
Last synced: 31 Oct 2025
https://github.com/jrieke/timeseries-rnn
⏱️ char-rnn for time series data
char-rnn deep-learning generation machine-learning prediction stock-market time-series timeseries timeseries-rnn
Last synced: 01 Aug 2025
https://github.com/seandavi/machinelearningintro
Machine learning use cases for teaching
data-science machine-learning r rstats teaching-materials tutorial
Last synced: 05 Apr 2025
https://github.com/rensvandeschoot/software-overview-machine-learning-for-screening-text
The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.
active-learning machine-learning software-development systematic-reviews
Last synced: 03 Jan 2026
https://github.com/nhejazi/txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance
Last synced: 16 Aug 2025
https://github.com/sherylhyx/msgnn
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.
directed-networks graph-neural-networks machine-learning magnetic-laplacian pytorch signed-directed-networks signed-networks
Last synced: 14 Apr 2025
https://github.com/pikarpov-lanl/sapsan
ML-based turbulence modeling for astrophysics
astrophysics machine-learning pytorch turbulence
Last synced: 14 Apr 2025
https://github.com/gentaiscool/miners
MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models. (EMNLP 2024 Findings)
benchmark classification deep-learning deep-learning-models efficient generation language-model large-language-models llm machine-learning miner miners ml multilingual nlp retrieval semantic-retrieval sentence-transformers transformers
Last synced: 31 Jul 2025
https://github.com/adhadse/deepdubpy
A complete end-to-end Deep Learning system to generate high quality human like speech in English for Korean Drama (WIP)
cross-language deep-learning korean-drama machine-learning speech-sythesis tensorflow text-to-speech voice-cloning
Last synced: 17 Aug 2025
https://github.com/vsoch/opensource-art
open source, collaborative art generation that combines hand and machine
art circle-ci collaborative deep-dream gallery github-pages machine-learning open-source opensource-art
Last synced: 03 Aug 2025
https://github.com/ashishbamania/tutorials-on-artificial-intelligence
A collection of AI tutorials from Dr. Ashish Bamania
agentic-ai ai ai-agents artificial-intelligence crewai data-science langchain llama machine-learning ml rag retreival-augmented-generation software-engineering
Last synced: 13 May 2025
https://github.com/scicloj/scicloj.ml.tribuo
Use Tribuo ML model in metamorph.ml
Last synced: 14 Apr 2025
https://github.com/srummanf/data-structures-and-algorithms_sql-da-ds_interview-practice
All in one place for Interview Preps - DSA - Data Analytics - ML/DL - Technical Interviews
aptitude-interview-prep codeforces data-analyst data-scientist data-structures-and-algorithms dsa interview-preparation java leetcode machine-learning
Last synced: 19 Aug 2025
https://github.com/takuti/anompy
A Python library for anomaly detection
anomaly-detection data-science forecasting machine-learning python
Last synced: 15 Apr 2025
https://github.com/devopscorner/nifi
Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)
ansible data-science data-structures docker docker-compose dockerhub ecr eks eks-cluster etl kubernetes machine-learning ml mlops nifi nifi-registry terraform vpn vpn-client
Last synced: 08 Sep 2025
https://github.com/doarakko/kagoole
Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.
artificial-intelligence data-science heroku kaggle kaggle-competition kaggle-solution machine-learning webapp
Last synced: 17 Oct 2025
https://github.com/ichtrojan/object-detection
Real-time Object Detection using Tensorflow and Javascript
javascript machine-learning object-detection reactjs tensorflow web
Last synced: 18 Aug 2025
https://github.com/dhopp1/nowcastlstm
R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
deep-learning forecasting lstm machine-learning neural-network nowcasting
Last synced: 14 Apr 2025
https://github.com/polyaxon/sdks
Polyaxon Clients & Langange SDKS
api client go golang instrumentation instrumentation-agent java kubernetes machine-learning model-management tracking typescript
Last synced: 09 Apr 2025
https://github.com/bnosac/dlib
allowing R users to work with dlib through Rcpp
dlib image-recognition machine-learning r rcpp robotics
Last synced: 05 Jul 2025
https://github.com/rickstaa/panda-autograsp
An autonomous grasping solution for the Emika Franka Panda robot.
machine-learning neural-networks python robot-manipulation robotics ros
Last synced: 28 Oct 2025
https://github.com/adeshpande3/quandl-machine-learning
Using the Quandl API to (try) to apply ML to the stock market
machine-learning quandl-api quandl-machine-learning quantitative-finance
Last synced: 13 May 2025
https://github.com/openml/openml-tutorial
Learn how to use OpenML for reproducible, collaborative machine learning projects
machine-learning openml tutorial
Last synced: 01 Jul 2025
https://github.com/salylgw/gammath_spot
Free and Open Source Software Project for comprehensive technical analysis of stocks
artificial-intelligence diy-investors financial-data investing machine-learning mathematics pandas python stock stock-market stock-technical-analysis stocks stocks-discount-scores
Last synced: 31 Jul 2025
https://github.com/aslotte/mlnet-jupyter
Jupyter Notebook + ML.NET Samples
dotnetcore jupyter-notebook machine-learning mlnet
Last synced: 31 Oct 2025
https://github.com/ljvmiranda921/vs-split
A Python library for creating adversarial splits
adversarial-examples adversarial-machine-learning machine-learning python
Last synced: 23 Apr 2025
https://github.com/ybubnov/metalchat
Llama inference for Apple Silicon
deep-learning machine-learning neural-networks
Last synced: 23 Feb 2026
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/floriank13/skyimages
Download and manage sky images for solar power forecasting.
data dataset datasets energy forecasting machine-learning python python-package pytorch
Last synced: 13 May 2025
https://github.com/nanxstats/msaenet
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
false-positive-control high-dimensional-data linear-regression machine-learning variable-selection
Last synced: 22 Apr 2025
https://github.com/letianzj/letianzj.github.io
Quantitative investing blog
deep-learning machine-learning quantitative-finance quantitative-trading trading-strategies
Last synced: 26 Jan 2026
https://github.com/getindata/kedro-snowflake
Kedro Snowflake / Snowpark plugin
kedro machine-learning mlops snowflake snowpark
Last synced: 09 Apr 2025
https://github.com/zamaex96/hybrid-cnn-lstm-with-spatial-attention
This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.
attention cnn-classification hybrid lstm-model machine-learning
Last synced: 08 Jan 2026
https://github.com/davidgasquez/letter-recognition
:information_source: Application of Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
letter-recognition machine-learning
Last synced: 05 Mar 2026
https://github.com/zjunlp/speech
[ACL 2023] SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres
acl2023 energy-model event-extraction ie information-extraction machine-learning natural-language-processing nlp physics pytorch speech structure-prediction
Last synced: 04 Mar 2026
https://github.com/gridaco/figma-archives
Figma Files Scraper for Research & Studies
crawler dataset design-database figma machine-learning scrapy selenium
Last synced: 06 Oct 2025
https://github.com/alankrantas/sefr_multiclass_classifier
Implementation of multiclass version of SEFR linear-time fast classifier (TinyML)
arduino-sketch avrs circuitpython classification classifier golang iris-dataset machine-learning machine-learning-algorithms microcontrollers micropython python3 sefr-classifier tinygo
Last synced: 27 Apr 2025
https://github.com/seiyakobayashi/zkml-optimization
Optimization for on-chain private machine learning.
blockchain ethereum machine-learning merkle-proof merkle-tree neural-network optimization-algorithms zk zk-snarks zkml zkp
Last synced: 19 Mar 2025
https://github.com/sap-samples/acl2019-commonsense
Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.
commonsense-reasoning machine-learning nlp sample
Last synced: 13 Apr 2025
https://github.com/business-science/workshop_2018_dsgo
DataScienceGO 2018 - Machine Learning Workshop
machine-learning r-programming
Last synced: 12 Apr 2025
https://github.com/SoftCreatR/php-mistral-ai-sdk
A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.
ai api api-client api-wrapper artificial-intelligence gpt gpt-3 gpt-4 hacktoberfest llama machine-learning mistral natural-language-processing nlp perplexity php replit sdk
Last synced: 21 Jul 2025
https://github.com/saman-nia/deep-neural-networks-for-clustering
Deep Learning Clustering with Tensor-Flow in Python
autoencoder autoencoder-clustering deep-learning deep-neural-networks k-means-clustering machine-learning spectral-clustering tensorboard tensorflow tensorflow-examples tensorflow-experiments tensorflow-models tensorflow-tutorials
Last synced: 24 Oct 2025
https://github.com/spencerhhubert/nexus
A LEGO® Sorting Machine
lego machine-learning neural-networks robotics
Last synced: 06 May 2025
https://github.com/krypty/trefle
Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.
data-science deap evolutionary-algorithm fuzzy-logic interpretability machine-learning python scikit-learn
Last synced: 29 Oct 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/jleinonen/geogan
Style-based GAN for geophysical fields
atmospheric-science climate-science deep-learning generative-adversarial-network machine-learning
Last synced: 19 Jun 2025
https://github.com/winkjs/wink-perceptron
Multi-class classifier
averaged-perceptron hactoberfest machine-learning multi-class-perceptron perceptron
Last synced: 30 Apr 2025
https://github.com/kanchitank/mushroom-classification
A machine-learning project to determine if a certain mushroom is edible or poisonous.
decision-tree-classifier knearest-neighbor-classifier logistic-regression machine-learning machine-learning-algorithms mushroom-classification mushroom-dataset naive-bayes-classifier random-forest-classifier support-vector-machines
Last synced: 07 May 2025
https://github.com/lucadellalib/bayestorch
Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning machine-learning markov-chain-monte-carlo python pytorch stein-variational-gradient-descent uncertainty-quantification variational-inference
Last synced: 22 Jul 2025
https://github.com/chaganti-reddy/evmarket-india
Electric Vehicle Market Segmentation Analysis in India
data-analysis data-science machine-learning market-segmentation pandas python
Last synced: 12 Apr 2025
https://github.com/alecokas/flux-vae
Implementation of a Convolutional Variational Autoencoder in Flux.jl
blog cvae fashion-mnist flux julia julialang machine-learning vae variational-autoencoder
Last synced: 11 Apr 2025
https://github.com/benediktalkin/imagenetsubsetgenerator
Creates subsets of ImageNet (e.g. ImageNet100)
dataset-generation imagenet imagenet-100 imagenet-1k imagenet-dataset machine-learning
Last synced: 11 Sep 2025
https://github.com/rasbt/datapipes-blog
Code for the DataPipes article
deep-learning machine-learning python pytorch
Last synced: 29 Oct 2025
https://github.com/kk7nc/3d-object-detection
Weighted Unsupervised Learning for 3D Object Detection
clustering kinect machine-learning object-detection unsupervised-machine-learning
Last synced: 06 May 2025
https://github.com/mlr-org/mlr3tuningspaces
Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem
automl hyperparameter-tuning machine-learning mlr3 r r-package tune tuning
Last synced: 20 Jul 2025
https://github.com/acecoooool/mlds-note
:books: This is note for Machine Learning and having it deep and structrured (Hung-yi Lee)
course deep-learning machine-learning python pytorch tutorial
Last synced: 09 Sep 2025
https://github.com/snowkylin/snowkylin.github.io
Snowkylin's Blog - 雪麒的百草园
deep-learning machine-learning
Last synced: 14 Sep 2025
https://github.com/bodo-ai/pydough
Analytics DSL for Python
analytics artificial-intelligence big-data data-science defog defog-ai machine-learning pandas python sql text-to-analytics text-to-sql tpch
Last synced: 22 May 2026
https://github.com/aditya30394/person-re-identification
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
deep-learning deep-neural-networks machine-learning person-re-identification person-reidentification python pytorch pytorch-cnn pytorch-gan
Last synced: 19 Apr 2025
https://github.com/zenml-io/template-starter
A template for a starter project for ZenML
cookiecutter copier-template data-science machine-learning mlops zenml
Last synced: 14 Apr 2025
https://github.com/bentsherman/tesseract
A tool for creating resource prediction models for scientific workflows
high-performance-computing machine-learning nextflow scientific-computing scientific-workflows
Last synced: 14 Apr 2025
https://github.com/dheerajjha451/cancerdetection
This project is an online platform designed to provide comprehensive health services for cancer patients. The aim is to create a digital space where patients can easily access resources, support, and professional consultations to manage their health journey. Through this platform, patients and their families can find essential information.
cancer-detection chatbot collabo healthcare llm machine-learning news twofactorauth typescript videocall web
Last synced: 04 Oct 2025
https://github.com/pathwayforte/pathway-forte
A Python package for benchmarking pathway database with functional enrichment and classification methods
benchmarking bioinformatics databases machine-learning pathway-analysis pathway-enrichment-analysis systems-biology
Last synced: 17 Jun 2025
https://github.com/ahmedbahaaeldin/introduction-to-nlp-class
Introduction to NLP class at Zewail City. This repo contains all the resources and materials for students
jupyter-notebooks machine-learning natural-language-processing statistical-methods tutorials
Last synced: 02 Mar 2026
https://github.com/janelia-cellmap/cellmap-models
Repository of model architectures and network weights used for CellMap segmentations.
Last synced: 18 Feb 2026
https://github.com/zziz/mean-shift
Mean-shift clustering in Python in 100 lines
machine-learning mean-shift meanshift python
Last synced: 27 Jul 2025
https://github.com/intel-retail/rtsf-at-checkout-reference-design
Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.
computer-vision deep-learning edge edge-ai edge-computing image-recognition inference intel live-demo machine-learning object-detection openvino pretrained-models real-time reference-implementation video
Last synced: 18 Aug 2025
https://github.com/mlr-org/mlr3measures
Performance measures used in mlr3
machine-learning mlr3 performance-evaluation performance-measures r r-package
Last synced: 23 Aug 2025
https://github.com/mayer79/splittools
Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
cross-validation machine-learning rstats time-series validation
Last synced: 21 Aug 2025
https://github.com/pmocz/artificialneuralnetwork-python
Artificial Neural Network for Image Classification
artificial-neural-networks astrophysics machine-learning scientific-computing tutorial
Last synced: 17 Aug 2025
https://github.com/abhineetraj1/face-dectection-python
This project helps to locate/visualize human faces through digital camera.
face-detection machine-learning machine-learning-algorithms opencv-python python-face-detection python3
Last synced: 16 Apr 2025
https://github.com/kyosek/probability-calibration-imbalanced
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
bayesian-methods classification creditcard-fraud imbalanced-data machine-learning probability-calibration
Last synced: 15 May 2025
https://github.com/iqtlabs/rfclassification
Project aimed to use RF signals to detect and classify devices
classification detection machine-learning rf
Last synced: 29 Sep 2025
https://github.com/name-ethnicity-classifier/name-ethnicity-classifier
This repository contains a console-interface name-ethnicity classifier
bias-detection conv-lstm ethnicity-classifier machine-learning nationality-predicter social-sciences
Last synced: 10 Mar 2026
https://github.com/shrit/magicflock
Simulation platform for drones swarms
c-plus-plus drones droneswarm gazebo gazebo-simulator leader-follower machine-learning quadrotors robotics simulation simulator supervised-learning swarm trajectory-prediction
Last synced: 14 Apr 2025
https://github.com/biocore/qadabra
Snakemake workflow for comparison of differential abundance ranks
bioinformatics differential-abundance machine-learning metagenomics microbiome pipeline snakemake workflow
Last synced: 13 May 2025
https://github.com/p1ayer-1/llama-libtorch
Llama causal LM fully recreated in LibTorch. Designed to be used in Unreal Engine 5
libtorch llama2 llamacpp machine-learning pytorch
Last synced: 11 Oct 2025
https://github.com/pxl-th/monodepth2.jl
Self-supervised monocular depth estimation
computer-vision deep-learning depth-estimation flux julia-language machine-learning monodepth monodepth2 neural-networks self-supervised self-supervision
Last synced: 23 Mar 2025
https://github.com/marcos-venicius/smlf
A small machine learning framework with ONLY python and math
artificial-intelligence deep-learning ia machine-learning ml models neural-network xor
Last synced: 12 Apr 2025
https://github.com/meridianalgo/araai
A machine learning platform for market analysis and forecasting, specializing in stock volatility prediction, market trend forecasting, and portfolio optimization.
artificial-intelligence huggingface huggingface-models machine-learning machine-learning-algorithms meridianalgo stock-analysis stock-price-prediction
Last synced: 26 May 2026
https://github.com/scofield7419/strumatchdl
Codes for ICML 2022 paper: Matching Structure for Dual Learning
Last synced: 27 Apr 2025
https://github.com/rapidrabbit76/sketchcolorization
line drawing colorization using pytorch
deep-learning gans generative-adversarial-network machine-learning onnx paintschainer pytorch
Last synced: 15 Jul 2025
https://github.com/dominhhai/dominhhai.github.io
My Blog
blog deep-learning dominhhai hugo javascript katex language machine-learning math python statistics study
Last synced: 15 Mar 2025
https://github.com/benc-uk/batcomputer
A working example of DevOps & operationalisation applied to Machine Learning and AI
api-wrapper azure azure-devops databricks docker kubernetes machine-learning
Last synced: 10 Mar 2025
https://github.com/SystemsGenetics/gene-oracle
Feature extraction algorithm for genomic data
bioinformatics dataset deep-learning gene genetic-algorithm machine-learning rna-seq
Last synced: 16 Mar 2025