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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/wwtg99/kaggle_getting_started

Kaggle getting started competition examples

kaggle machine-learning xgboost

Last synced: 22 Aug 2025

https://github.com/incognito124/knarrow

Shoot a knarrow to the knee

elbow knee machine-learning optimization python python3

Last synced: 13 Apr 2025

https://github.com/divinemonk/hackgpt

HackGPT is a collective one place resource project that reverse engineers ChatGPT to unleash it's full potential for creating smarter, more human-like experience. It's open for collaboration and contributions from developers and researchers, with a focus on legal and ethical use.

ai all-in-one artificial-intelligence bug-bounty chatgpt developers ethical-hacking hackers hackgpt machine-learning open-source prompt-engineering resources

Last synced: 13 Apr 2025

https://github.com/sno2/bertml

Use common pre-trained ML models in Deno!

bert deno machine-learning nlp rust

Last synced: 14 Apr 2025

https://github.com/chinmayrane16/diamonds-in-depth-analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

data-visualization feature-engineering feature-scaling machine-learning matplotlib numpy pandas seaborn

Last synced: 18 Mar 2025

https://github.com/boyanangelov/sdmbench

Benchmarking Species Distribution Models

benchmarking ecology machine-learning r sdm

Last synced: 14 Mar 2025

https://github.com/bdusell/nondeterministic-stack-rnn

Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

conll2020 deep-learning iclr2022 iclr2023 language-model machine-learning neural-networks nlp pytorch rnn stack

Last synced: 12 Aug 2025

https://github.com/xrahul/groupingmessages

Auto categorization of your SMS into your own custom categories

android android-pie categorization machine-learning sms string-matching

Last synced: 30 Jul 2025

https://github.com/scicloj/metamorph.ml

Machine learning functions for metamorph based on machine learning pipelines

machine-learning

Last synced: 20 Aug 2025

https://github.com/proycon/python-timbl

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

k-nearest-neighbours knn machine-learning python timbl

Last synced: 15 Apr 2025

https://github.com/ncordon/undergraduate-dissertation

Final career project on PAC theory and imbalanced datasets

imbalanced-learning machine-learning pac-theory

Last synced: 19 Feb 2026

https://github.com/hi-paris/xper

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

explainability interpretability machine-learning performance-metrics shap shapley-value

Last synced: 09 Apr 2026

https://github.com/pottekkat/virtual-drums

A virtual drum set built using Open CV

computer-vision machine-learning opencv virtual-drums

Last synced: 20 Aug 2025

https://github.com/albincorreya/ml-training-airflow-mlflow-example

An example of setting up local audio ML training pipeline on Airflow with MLFlow experiment tracking and custom python library.

airflow audio-analysis keras-tensorflow machine-learning mlfow mlops

Last synced: 30 Jul 2025

https://github.com/991o2o9/smart-cardiologist

Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

api artificial-intelligence data-science fastapi healthcare healthcare-technology heart-disease machine-learning medical-ai medical-diagnosis prediction predictive-analytics pydantic python rest-api scikit-learn swagger uvicorn

Last synced: 30 Aug 2025

https://github.com/snap-research/stable-flow

Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing"

deep-learning diffusion-models flow-models generative-ai image-editing machine-learning text-to-image

Last synced: 15 May 2025

https://github.com/curiousily/Reproducible-ML-with-DVC

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking

Last synced: 29 Jul 2025

https://github.com/elata-biosciences/elata-vsm-system-4

AI-powered intelligence platform aggregating breakthroughs in neuroscience, computational psychiatry, and mental health research. Built with Next.js, ChatGPT API, and TypeScript.

artificial-intelligence biohacking brain-computer-interface chatgpt computational-psychiatry cryptocurrency dao desci llm machine-learning mental-health neuroscience nextjs open-ai open-science psychiatry puppeteer research-tools scraping typescript

Last synced: 18 Aug 2025

https://github.com/chembl/chembl_multitask_model

Target prediction multitask neural network, with examples running it in Python, C++, Julia and JS

cheminformatics chemistry machine-learning

Last synced: 11 Feb 2026

https://github.com/sanofi-public/cimpact

Causal inference library for timeseries analysis

advanced-analytics ai causal-inference impact machine-learning solutions time-series

Last synced: 01 Mar 2026

https://github.com/alessandro-nori/crypto_nn

Proof of concept for CryptoDL made for BigSec course @ EURECOM

homomorphic-encryption machine-learning neural-network

Last synced: 05 Mar 2026

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/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/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/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/marceariel99/simil-photo

Software to detect and delete similar images in a directory

machine-learning python

Last synced: 21 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/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/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/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/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/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/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 Jun 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/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/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/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/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/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/aahrens1/ddml

Double/Debiased Machine Learning implementation for Stata

causal-inference machine-learning stata

Last synced: 23 Feb 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/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/rhnvrm/machine-learning-nanodegree

Project Portfolio for Machine Learning Nanodegree by Udacity

machine-learning nanodegree udacity

Last synced: 05 Mar 2026

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/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/nazanin1369/datamining-knn

Implement KNN classification algorithm in Python

knn-classification machine-learning

Last synced: 23 Mar 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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

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-aws 687 awesome-artificial-intelligence 90 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 405 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 11,028 Uncategorized 8,018 Books 4,057 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,388 **Literature and Codes** 2,261 Vision 2,030 Repos 1,866 Paper List 1,715 Table of Contents 1,673 fl in top ml conference and journal 1,564 Blog Posts 1,539 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,155 Computational Information Geometry 1,071 Attack 1,063 Research Papers 1,025 Videos 944