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An open API service indexing awesome lists of open source software.

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.

https://github.com/jinglescode/reinforcement-learning-tic-tac-toe

A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.

javascript machine-learning reinforcement-learning

Last synced: 15 Apr 2025

https://github.com/danieleds/torchrc

An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.

echo-state-networks library machine-learning neural-networks pytorch recurrent-neural-networks reservoir-computing rnn

Last synced: 14 Apr 2025

https://github.com/erupturatis/neuralnetworkplayground

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

backpropagation d3 d3js d3js-graph machine-learning neural-network neural-network-visualization react reactjs rendering visualization

Last synced: 31 Aug 2025

https://github.com/MilaNLProc/bertlang

A web interface to understand language-specific BERT-models

artificial-intelligence bert-model machine-learning nlp nlp-machine-learning

Last synced: 23 Aug 2025

https://github.com/smarttensors/nmfk.jl

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

blind-source-separation feature-extraction julia machine-learning physics-informed-learning scientific-computing scientific-machine-learning source-identification unsupervised-machine-learning

Last synced: 18 Feb 2026

https://github.com/voxel51/reconstruction-error-ratios

Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!

annotation clip-model computer-vision data-centric-ai machine-learning python umap

Last synced: 16 Mar 2026

https://github.com/hfahrudin/facex

Python library for detecting faces and classifying emotions in images lightweight, efficient threading and object pooling for concurrent processing.

computer-vision deep-learning machine-learning opencv python raspberry-pi tensorflow

Last synced: 31 Jan 2026

https://github.com/ondrejbiza/bandits

Comparison of bandit algorithms from the Reinforcement Learning bible.

machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book

Last synced: 25 Oct 2025

https://github.com/tailhq/plasmaml

Machine Learning tools for Space Weather and Plasma Physics

machine-learning plasma-physics scala space-physics space-weather

Last synced: 15 Oct 2025

https://github.com/jason2brownlee/datasciencediagnosticchecklist

Data Science Diagnostic Checklist: Helpful checks for data scientists with urgent problems

checklist data-science diagnostics machine-learning statistics

Last synced: 23 Jan 2026

https://github.com/asem000/serket

The ✨Magical✨ JAX ML Library.

jax machine-learning neural-network

Last synced: 07 Oct 2025

https://github.com/mchav/courseramachinelearning

Exercises and notes from the Coursera Machine Learning Course by Andrew Ng.

haskell machine-learning machine-learning-coursera

Last synced: 25 Mar 2025

https://github.com/guillaumebouchetepitech/geneticalgorithm_experiment

Genetic Algorithm experiment, it was kept simple on purpose. (demo available)

bullet-physics genetic-algorithm machine-learning multithreading opengl

Last synced: 17 Aug 2025

https://github.com/jalajthanaki/stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

djia machine-learning predictive-analytics price stock-price-prediction

Last synced: 13 Oct 2025

https://github.com/aiwithqasim/piaic-artificial-intelligence

Welcome, to this OPEN SOURCE repository. In this repository, I'll Add all Material that I had read in the PIAIC course. It will benefit those students of PIAIC who are Enthusiastic toward Artificial Intelligence.

cnn data-science deep-learning docker linux machine-learning matplotlib numpy pandas python3

Last synced: 17 Mar 2025

https://github.com/rhnvrm/machine-learning-nanodegree

Project Portfolio for Machine Learning Nanodegree by Udacity

machine-learning nanodegree udacity

Last synced: 05 Mar 2026

https://github.com/joylarkin/my-ai-resource-list

A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.

agi ai ai-2025 ai-ecosystem ai-leaderboards ai-list ai-resources ai-tools api artificial-intelligence asi awesome-ai cerebral-valley documentation machine-learning ml prompts sdk

Last synced: 20 Feb 2026

https://github.com/thudm/mrt

MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)

data-mining machine-learning

Last synced: 30 Nov 2025

https://github.com/aahrens1/ddml

Double/Debiased Machine Learning implementation for Stata

causal-inference machine-learning stata

Last synced: 23 Feb 2026

https://github.com/bgu-cs-vil/pdc-dp-means

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]

clustering dpmeans kmeans machine-learning minibatch scikit-learn

Last synced: 10 Apr 2025

https://github.com/ae-bii/neural-geometry

Latent Space Geometry for Neural Networks in Python

deep-learning machine-learning manifold-optimization neural-network python

Last synced: 14 Dec 2025

https://github.com/sql-hkr/syna

Syna is a lightweight machine learning framework inspired by DeZero.

framework machine-learning reinforcement-learning

Last synced: 14 May 2026

https://github.com/zhenye-na/coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines

Last synced: 02 May 2025

https://github.com/nhatsmrt/nn-toolbox

A toolbox of commonly used deep learning components, procedures and applications

data-science deep-learning machine-learning neural-networks python pytorch

Last synced: 10 Apr 2025

https://github.com/vida-nyu/pycalibrate

pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks

calibration machine-learning model-analysis model-calibration

Last synced: 11 Sep 2025

https://github.com/sbrunk/scalajs-tfjs

Scala.js bindings for TensorFlow.js. Train and deploy ML models in your browser with Scala.

deep-learning machine-learning scala scala-js tensorflow tensorflowjs

Last synced: 01 Apr 2026

https://github.com/msesia/conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

conformal-prediction false-discovery-rate machine-learning outlier-detection statistics

Last synced: 30 Oct 2025

https://github.com/louisbrulenaudet/docutron

Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

cv2 detecron2 detection document legal legaltech legaltools llm machine-learning nlp ocr ocr-recognition preprocessing

Last synced: 14 Jul 2025

https://github.com/florentf9/sparkml-som

:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)

clustering machine-learning scalable self-organizing-map som spark spark-ml spark-mllib

Last synced: 06 May 2025

https://github.com/afathi/turicreate-notebooks

Demonstrating how to create custom Core ML models 👾🤖

computer-vision coreml ios machine-learning macos python watchos

Last synced: 04 Apr 2025

https://github.com/adamjstewart/crop_yield_prediction

:corn: Machine learning model for crop yield prediction

crop-model deep-learning machine-learning neural-network

Last synced: 07 May 2025

https://github.com/cpury/pong-rl

Reinforcement Learning with Pong in the Browser via TensorFlow.js

game-development machine-learning reinforcement-learning tensorflowjs tfjs

Last synced: 06 May 2025

https://github.com/adelrizq/orchestra

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

adelrizq binarization hemdan image-processing machine-learning machine-readable mahboub noise-removal omr omr-sheet optical-character-recognition optical-music-recognition segmentation

Last synced: 05 May 2025

https://github.com/progamergov/pytorch-convis

A tool to visualize convolutional layer activations on an input image.

cnn convis heatmap machine-learning network-in-network neural-style-pt nin pytorch vgg vision visualisation visualization

Last synced: 19 Mar 2025

https://github.com/minhaskamal/alphabetrecognizer

Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)

alphabet-recognizer data database english image-processing java machine-learning ocr sample template-matching text-recognition training-data writing

Last synced: 11 Apr 2025

https://github.com/cea-list/rpcdataloader

A variant of the PyTorch Dataloader using remote workers.

data-science dataloader distributed-computing hpc machine-learning preprocessing pytorch slurm

Last synced: 21 Jun 2025

https://github.com/burhan-q/ultralytics-snippets

Ultralytics VSCode snippets plugin to provide quick examples and templates of boilerplate code to accelerate your code development and learning.

code-snippets deep-learning developer-tools machine-learning neural-networks object-detection python sam2 segmentation snippets ultralytics vscode vscode-extension yolo yolo11 yolov10 yolov8 yolov9

Last synced: 12 Jun 2025

https://github.com/taejoongyoon/ecg_classification

ECG Classification with Tensorflow

ecg machine-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/oelmekki/postgres-350d

Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350

machine-learning postgres postgresql vector-database

Last synced: 01 Aug 2025

https://github.com/linhaowei1/CLoG

✌ CLoG: Benchmarking Continual Learning of Image Generation Models

continual-learning diffusion-models gan generative-model huggingface machine-learning stable-diffusion

Last synced: 27 Mar 2025

https://github.com/anishlearnstocode/ml-stanford

Machine Learning Course by Stanford on Coursera (Andrew Ng)

andrew-ng classification coursera logistic-regression machine-learning ml regression stanford

Last synced: 22 Jul 2025

https://github.com/shivaylamba/machine-learning-mentorship

Repository for GirlScript Winter Mentorship Programme for Machine Learning

girlscript machine-learning mentorship python

Last synced: 14 Apr 2025

https://github.com/rfonod/deepsleep2

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

cnn computational-efficiency convolutional-networks deep-learning encoder-decoder machine-learning medical-ai multichannel neural-networks physionet polysomnography pytorch segmentation sleep-analysis sleep-apnea sleep-arousals time-series u-net

Last synced: 01 Sep 2025

https://github.com/yutkin/news-aggregator

Classification and aggregation of russian news articles. University coursework.

classification coursework machine-learning news news-aggregator nlp university

Last synced: 05 Apr 2025

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 21 Aug 2025

https://github.com/joerihermans/constraining-dark-matter-with-stellar-streams-and-ml

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

astrophysics dark-matter deep-learning likelihood-free-inference machine-learning simulation-based-inference

Last synced: 21 Sep 2025

https://github.com/elenamer/ecg_classification_dl

ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG

arrhythmia-classification ecg machine-learning

Last synced: 09 Aug 2025

https://github.com/amitkaps/datascience

Build and Deploy Machine Learning Models on the Cloud

cloud data-science machine-learning python

Last synced: 10 Nov 2025

https://github.com/lucko515/breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

breast-cancer-wisconsin classification classification-algorithims machine-learning

Last synced: 14 Apr 2025

https://github.com/rakibhhridoy/anomalydetectionintimeseriesdata-keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

anomaly-detection autoencoder autoencoders deep-learning dropout keras lstm machine-learning numpy pandas python regularization tensorflow threshold

Last synced: 26 Feb 2026

https://github.com/dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 08 Oct 2025

https://github.com/nmandery/extended-isolation-forest

Rust port of the extended isolation forest algorithm for anomaly detection

anomaly-detection isolation-forest machine-learning

Last synced: 30 Aug 2025

https://jinglescode.github.io/reinforcement-learning-tic-tac-toe/

A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.

javascript machine-learning reinforcement-learning

Last synced: 14 Mar 2025

https://github.com/euclidstellar/team-management-app

A Flutter team management app that can be used for multiple purpose of managing workflow between teams to make it efficient : web version below

chat chat-application crm-app crm-application crm-platform leadership machine-learning resource-management team team-management team-management- team-members team-platform teamwork-projects

Last synced: 24 Apr 2025

https://github.com/thomasathorne/clj-stan

A library to interface with STAN.

bayesian-inference machine-learning stan

Last synced: 21 Feb 2026

https://github.com/ntia/alignnet

Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.

corpus-effect listening-experiment machine-learning no-reference-audio-quality-assessment speech-quality speech-quality-evaluation subjective-tests

Last synced: 01 Sep 2025

https://github.com/nazanin1369/datamining-knn

Implement KNN classification algorithm in Python

knn-classification machine-learning

Last synced: 23 Mar 2025

https://github.com/shehzeen/waveguard_defense

This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"

adversarial-machine-learning audio defense-methods machine-learning

Last synced: 30 Apr 2025

https://github.com/lightly-ai/lightly-train

LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications

computer-vision contrastive-learning deep-learning distillation embeddings machine-learning pretrained-models python pytorch self-supervised self-supervised-learning

Last synced: 18 Apr 2025

https://github.com/ilijamihajlovic/coreml-and-vision-with-a-pre-trained-deep-learning-ssd-model

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.

computer-vision coreml coreml-framework coreml-image-classifier coreml-model coreml-models coreml-vision image-classification image-recognition machine-learning object-detection swift vison

Last synced: 08 Oct 2025

https://github.com/jakecyr/gpt-text-to-diagram

Generate software design diagram images from plain text using GPT models.

chatgpt gpt machine-learning nodejs openai software-design software-engineering

Last synced: 16 Apr 2025

https://github.com/kujenga/goml

Experimental ML implementations in Go

go machine-learning mnist neural-networks

Last synced: 06 May 2025

https://github.com/anishLearnsToCode/ml-stanford

Machine Learning Course by Stanford on Coursera (Andrew Ng)

andrew-ng classification coursera logistic-regression machine-learning ml regression stanford

Last synced: 31 Mar 2025

https://github.com/krisharul26/motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

artificial-intelligence computer-vision image-processing imageclassification keras-tensorflow labelimg-tool machine-learning objectdetection tensorflow2 transfer-learning yolov3

Last synced: 12 May 2025

https://github.com/opensourceai/spark-plan

星火计划-做AI领域的独家，所有文章旨在技术传播和交流学习，非商业用途。

ai depplearning machine-learning python

Last synced: 01 Sep 2025

https://github.com/zephery/weiboflask

微博情感分析，使用flask制作restful api，毕业设计衍生项目

adaboost bayes flask machine-learning

Last synced: 25 Apr 2025

https://github.com/twilio-labs/ml-training-api

A service template for asynchronous machine learning model training

machine-learning python

Last synced: 07 May 2025

https://github.com/rumaan/machine-learning-lab-vtu

Repository with programs for the Machine Learning Lab VTU - (15CSL76) 📚

jupyter lab machine-learning machine-learning-lab python3 sklearn vtu

Last synced: 03 Jul 2025

https://github.com/soroushj/keras-balanced-batch-generator

A Keras-compatible generator for creating balanced batches

keras machine-learning machine-learning-algorithms

Last synced: 08 Apr 2025

https://github.com/mosecorg/numbin

An efficient binary serialization format for numerical data.

deep-learning hacktoberfest machine-learning numpy python scientific-computing serialization

Last synced: 07 May 2025

https://github.com/stephanakkerman/crypto-forecasting-benchmark

This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

crypto cryptocurrencies cryptocurrency hyperoptimization hyperparameter-optimization machine-learning price-analysis price-prediction price-prediction-model time-series time-series-analysis time-series-forecasting volatility

Last synced: 10 Apr 2025

Machine learning Awesome Lists
awesome-scalability 920 awesome-datascience 944 awesome-deep-learning 598 awesome-deep-learning-papers 238 awesome-production-machine-learning 548 awesome-nlp 683 Machine-Learning-Tutorials 484 Awesome-pytorch-list 707 awesome-kubernetes 48 awesome-artificial-intelligence 90 awesome-aws 687 Awesome-Diffusion-Models 2,974 awesome-project-ideas 57 awesome-ml-for-cybersecurity 164 Awesome-Embedded 306 Awesome-CoreML-Models 60 awesome-multimodal-ml 480 awesome-machine-learning-on-source-code 264 awesome-self-supervised-learning 463 useful-java-links 807 Awesome-Prompt-Engineering 457 awesome-learning-resources 499 learn-ai-engineering 114 awesome-ai-tools 435 awesome-quant 142 awesome-mlops 314 Awesome-Geospatial 1,525 awesome-ai-ml-resources 130 awesome-opensource-ai 884 awesome-robotic-tooling 939 Awesome-Quant-Machine-Learning-Trading 125 awesome-quantum-machine-learning 267 awesome-python-data-science 382 awesome-ai-residency 91 awesome-TS-anomaly-detection 55 awesome-ml-courses 40 awesome-deep-learning-music 248 awesome-robotics-libraries 232 awesome-anomaly-detection 138 Computer-Science-Resources 51 awesome-tensor-compilers 165 awesome-decision-tree-papers 423 awesome-argo 406 awesome-chatgpt 169 awesome-streamlit 101 Awesome-Rust-MachineLearning 48 awesome_time_series_in_python 69 machine-learning-with-ruby 216 awesome-ml4co 615 awesome-jax 218
Machine learning Categories
Papers 11,231 Uncategorized 8,071 Books 4,097 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,414 **Literature and Codes** 2,279 Vision 2,030 Repos 1,864 Table of Contents 1,787 fl in top ml conference and journal 1,564 Blog Posts 1,560 Paper List 1,501 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,158 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,032 Videos 1,012