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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/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/dice-group/tebaqa

A question answering system which utilises machine learning.

machine-learning natural-language-processing question-answering weka

Last synced: 24 Jun 2025

https://github.com/ssydasheng/gpflow-slim

customized GPflow with simple Tensorflow API

gaussian-processes machine-learning

Last synced: 11 Sep 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/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/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/targene/tmle.jl

A Julia implementation of the Targeted Minimum Loss-based Estimation

causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle

Last synced: 27 Jul 2025

https://github.com/safe-ds/dsl

Statically checked Data Science programs.

data-science dsl learnability machine-learning safety static-analysis usability

Last synced: 26 Jun 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/taejoongyoon/ecg_classification

ECG Classification with Tensorflow

ecg machine-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/rattydave/docker-jupyterhub

Multi user Jupyterhub with C++, Java, Python, Tensorflow, Julia, SQL, NodeJS, Bash and more!

beakerx clojure groovy java jupyter-notebook jupyterhub machine-learning scala sql torch

Last synced: 14 Apr 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/equinor/timeseriesanalysis

Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.

advanced-analytics data-mining digital-twins dynamic-simulations machine-learning mpc-control multivariate-statistics pid-control system-identification time-series

Last synced: 11 Oct 2025

https://github.com/cod3licious/simec

Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations

deep-learning embeddings machine-learning matrix-factorization neural-network representation-learning

Last synced: 28 Feb 2026

https://github.com/asem000/serket

The ✨Magical✨ JAX ML Library.

jax machine-learning neural-network

Last synced: 07 Oct 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/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/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/jakartaresearch/maleo

Wrapper library for text cleansing, preprocessing in NLP

indonesian-language machine-learning nlp nlp-library

Last synced: 25 Sep 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://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/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/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/cschoeller/pycandle

Lightweight library for executing PyTorch experiments without boilerplate code.

deep-learning machine-learning neural-networks python pytorch

Last synced: 09 Apr 2026

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/jmduarte/phys139_239

UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)

machine-learning physics ucsd

Last synced: 11 Sep 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/adilzouitine/outfit

:dress: Tidy up your machine learning experiments

experiments machine-learning

Last synced: 11 Apr 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/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/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/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/vvizardev/pumpfun-ai-comment-bot

pumpfun-ai-comment-bot : this comment bot generates ai comments based on user input ( clue: solana ai comment pumpfun bot agent ) solana ai agent

ai bot comment machine-learning pumpfun solana

Last synced: 13 Apr 2025

https://github.com/bencevans/camtrapml

📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.

camera-traps hacktoberfest machine-learning wildlife-conservation

Last synced: 21 Mar 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/socaity/fasttaskapi

Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id later. FastTaskAPI creates threaded jobs and job queues on the fly. Router functionality for Runpod. Run services anywhere, be it local, hosted or serverless.

azure-blob-storage celery deployment fastapi job-queue json machine-learning openapi rest runpod s3-storage starlette threading uvicorn

Last synced: 17 Jul 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/faceplugin-ltd/open-source-face-recognition-sdk

The world's 1st open source face recognition SDK for Windows and Linux (Face detection, Face landmark extraction, Face feature extraction, Face template mathcing)

deep-learning face-detection face-landmark-detection face-recognition identity-verification machine-learning open-source python

Last synced: 07 Mar 2026

https://github.com/wondervictor/traffic_prediction

Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)

deep-learning deep-neural-networks machine-learning predictive-analysis

Last synced: 15 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/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/cair/open-tsetlin-machine

Open Source Tsetlin Machine framework

machine-learning tsetlin-machine

Last synced: 07 Jan 2026

https://github.com/mlomb/onnx2code

Convert ONNX models to plain C++ code (without dependencies)

assembly cpp inference machine-learning onnx python

Last synced: 01 Apr 2025

https://github.com/manasvigoyal/gmail-classification

Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.

beautifulsoup classification email-classification excel gmail jupyter-notebooks machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 28 Oct 2025

https://github.com/tushartushar/ml4sca

Machine Learning for Source Code Analysis

literature-review machine-learning ml4se software-engineering survey

Last synced: 11 Apr 2026

https://github.com/hibayesian/spark-lof

A parallel implementation of local outlier factor based on Spark

local-outlier-factor machine-learning outlier-detection spark

Last synced: 30 Jul 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/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/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/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/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/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/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/anroshka/snake-ai

🐍 A Snake game AI that learns to play through Deep Q-Learning. Built with PyTorch and Pygame, featuring CUDA acceleration and real-time visualization of the learning process.

artificial-intelligence collaborate collaboration cuda deep-learning deep-q-learning dqn game-ai gpu-acceleration machine-learning neural-network pygame python pytorch q-learning reinforcement-learning snake-game

Last synced: 24 Feb 2026

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/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/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/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 Jun 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/zongxr/dcic2024-offshore-wind-power

本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55

lightgbm machine-learning sklearn time-series

Last synced: 09 May 2025

https://github.com/deepset-ai/haystack-home

Website for Haystack, the open source LLM framework

blog llm machine-learning nlp open-source

Last synced: 12 Apr 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/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/IBM/MAX-Review-Text-Generator

Generate English-language text similar to the text in the Yelp® review data set.

docker-image keras machine-learning machine-learning-models

Last synced: 13 May 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/ucsd-e4e/pyha

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

audio automation bioacoustics bird-audio-clips bird-species-classification birdsong deep-learning foreground-detection human-labels machine-learning moment-labels natural-language-processing neural-network object-detection python python3 sed sound-processing template-matching training

Last synced: 18 Jan 2026

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/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/pourmand1376/PersianCrawler

Open source crawler for Persian websites.

crawler machine-learning news python scrapy tasnim text-classification

Last synced: 09 Jul 2025

https://github.com/ahammadmejbah/linear-regression

In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression

machine-learning regression statistics

Last synced: 27 Apr 2025

https://github.com/iterative/studio-support

❓ DVC Studio Issues, Question, and Discussions

data-science dvc machine-learning mlops support

Last synced: 04 Feb 2026

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/aniketwdubey/rainfall-prediction-end-to-end-ml-project

The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.

css data-science data-visualization flask html machine-learning python rainfall-prediction

Last synced: 23 Apr 2025

https://github.com/brianyu28/authorship

An authorship attribution system based on a machine learning model using syntactic linguistic information as a feature set.

authorship-attribution computational-linguistics machine-learning

Last synced: 09 Apr 2025

https://github.com/princeton-nlp/semsup

Semantic Supervision: Enabling Generalization over Output Spaces

deep-learning machine-learning

Last synced: 27 Apr 2025

Machine learning Awesome Lists
awesome-scalability 920 awesome-datascience 950 awesome-deep-learning 598 awesome-deep-learning-papers 238 awesome-production-machine-learning 549 awesome-nlp 685 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 459 awesome-learning-resources 499 learn-ai-engineering 114 awesome-ai-tools 435 awesome-quant 145 awesome-mlops 314 Awesome-Geospatial 1,546 awesome-ai-ml-resources 130 awesome-opensource-ai 926 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 11,256 Uncategorized 8,045 Books 4,146 fl in top-tier journal 3,256 Scalability 2,960 A01_文本生成_文本对话 2,414 **Literature and Codes** 2,282 Vision 2,031 Repos 1,875 Paper List 1,811 Table of Contents 1,756 fl in top ml conference and journal 1,564 Blog Posts 1,559 Year 2022 1,438 Publications-and-Preprints 1,170 Articles & Blogs 1,159 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,047 Videos 1,008