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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/biolab/orange3-educational

🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.

algorithm coursera data-mining machine-learning machine-learning-algorithms orange teaching udacity university-course visualization

Last synced: 14 Aug 2025

https://github.com/dayyass/graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.

clustering data-science graph graph-algorithms hacktoberfest machine-learning python sklearn

Last synced: 03 Mar 2026

https://github.com/nikunj-gupta/fcmadrl

Fully Cooperative Multi-Agent Deep Reinforcement Learning

ddpg dqn machine-learning multiagent-systems reinforcement-learning

Last synced: 03 Jun 2026

https://github.com/akabe/docker-iocaml-datascience

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

data-science deep-learning docker functional-programming iocaml jupyter-notebook machine-learning ocaml

Last synced: 07 Oct 2025

https://github.com/rishit-dagli/astroformer

This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.

computer-vision convolutional-neural-networks deep-learning machine-learning transformer vision-transformer

Last synced: 16 Oct 2025

https://github.com/knazeri/coursera

Coursera's Machine/Deep Learning assignments

deep-learning machine-learning neural-networks

Last synced: 15 Oct 2025

https://github.com/ianramzy/stock-news-analysis

📰 Web app built with Flask that given a stock ticker will scrape dozens of articles off of Nasdaq.com and run them through a machine learning model for analysis.

flask machine-learning news python scraping stock

Last synced: 03 Mar 2026

https://github.com/dereklstinson/gocudnn

Go Bindings for cudnn and other cuda pacakges.

convolutional-neural-networks cuda cudnn go golang machine-learning neural-network

Last synced: 24 Jul 2025

https://github.com/justinmeiners/why-train-when-you-can-optimize

Learn multi-variable optimization by creating a drawing assistant. No deep learning required!

canvas deep-learning graphics machine-learning numerical-methods optimization

Last synced: 04 Feb 2026

https://github.com/adeeteya/tennis-serve-analysis

The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.

flutter flutter-app flutter-apps flutter-examples machine-learning mobile-app movenet movenet-thunder pose-estimation sports sports-analytics tennis tennis-game tensorflow

Last synced: 02 May 2025

https://github.com/feyzaakyurek/subspace-reg

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

class-incremental-learning computer-vision continual-learning few-shot-learning image-classification incremental-learning machine-learning subspace-learning

Last synced: 18 Apr 2025

https://github.com/athen-lab/mai

Multilayer Authenticity Identifier (MAI), a CNN model that attempts to identify synthetic AI images.

cnn cnn-classification cnn-model machine-learning pytorch

Last synced: 15 Apr 2025

https://github.com/kubegems/modelx

A simple, High-Performance, Scalable ML/DL Models Repository based on OCI Artifacts

deep-learning image kubegems kubernetes machine-learning modelx oci repository

Last synced: 11 Mar 2026

https://github.com/alessandrocorradini/harvard-data-science-professional

Repository for the Data Science Professional Program from Harvard University on edX

data-analysis data-science datascience edx harvardx machine-learning machinelearning mooc moocs r r-language

Last synced: 13 Jul 2025

https://github.com/amadeusitgroup/cpmml

cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)

ai data-science machine-learning ml model-deployment model-scoring pmml

Last synced: 25 Apr 2025

https://github.com/lolleko/mesh-data-synthesizer

Uses Unreal Engine & Cesium to generate large synthetic dataset from 3D meshes. Enables machine learning tasks like Visual Place Recognition read more in our paper on this: https://meshvpr.github.io

cesium data geospatial machine-learning mesh place-recognition synthesis synthesizer ue5 unreal-engine

Last synced: 28 Apr 2025

https://github.com/nyuvis/partial_dependence

Python package to visualize and cluster partial dependence.

interpretability machine-learning partial-dependence-plot python-package visualization

Last synced: 14 Jan 2026

https://github.com/amatofrancesco99/credit-risk-analysis

The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.

credit-risk-analysis financial-data-science machine-learning

Last synced: 06 Sep 2025

https://github.com/qbicz/real-time-shape-detection

CV/AI: use ARM Mali GPU on ODROID-XU4 single-board computer + OpenCL acceleration to achieve real time shape and orientation detection of fast moving objects

basler camera computer-vision linux-embedded machine-learning machine-vision opencv sbcomputers shape-detection

Last synced: 20 Jun 2025

https://github.com/PrimozGodec/ImageColorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

artificial-intelligence colorization datamining image-colorization machine-learning neural-network

Last synced: 07 May 2025

https://github.com/lukasmosser/asi-pytorch

Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories

geology geophysics machine-learning segmentation seismic

Last synced: 15 Apr 2025

https://github.com/Mattdl/ContinualEvaluation

[Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.

avalanche continual-evaluation continual-learning deep-learning lifelong-learning machine-learning pytorch stability-gap

Last synced: 08 May 2025

https://github.com/evanhalley/tensorandflow

Example code and graph for article on deploying a machine learning model in an Android app.

android machine-learning tensorflow tensorflow-tutorials

Last synced: 30 Aug 2025

https://github.com/steven2358/sklearn-matlab

Machine learning in Matlab using scikit-learn syntax

machine-learning matlab scikit-learn

Last synced: 10 Apr 2025

https://github.com/carpentries-incubator/machine-learning-novice-sklearn

A Carpentry style lesson on machine learning with Python and scikit-learn.

alpha carpentries-incubator english lesson machine-learning python sklearn

Last synced: 22 Oct 2025

https://github.com/maxim5/cs231n-2016-winter

All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

computer-vision convolutional-neural-networks cs231n deep-learning machine-learning

Last synced: 28 Jan 2026

https://github.com/w4k2/problexity

The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification and regression problems.

data-complexity machine-learning python software

Last synced: 17 Jan 2026

https://github.com/maxhalford/starboost

:star::rocket: Gradient boosting on steroids

gradient-boosting machine-learning python scikit-learn

Last synced: 01 May 2025

https://github.com/philipperemy/tensorflow-grid-lstm

Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)

deep-learning lstm machine-learning recurrent-neural-networks tensorflow time-series

Last synced: 08 Jul 2025

https://github.com/rasbt/posit2023-python-ml

Workshop materials for posit::conf(2023)

ai deep-learning machine-learning python

Last synced: 01 May 2025

https://github.com/davidnyarko123/edge-tpu-silva

Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.

coral-tpu edge-computing fps machine-learning model-inference object-detection pycoral raspberry-pi raspberry-pi-4

Last synced: 28 Oct 2025

https://github.com/cpury/lstm-math

Neural network that solves math equations on the character level

deep-learning keras lstm machine-learning python seq2seq tensorflow

Last synced: 30 Apr 2025

https://github.com/havakv/torchtuples

Training neural networks in PyTorch

deep-learning machine-learning neural-network python pytorch

Last synced: 10 Apr 2025

https://github.com/liyucheng09/metaphorframe

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. Presented at EACL 2023.

deep-learning machine-learning metaphor-detection

Last synced: 26 Mar 2025

https://github.com/lejon/PartiallyCollapsedLDA

Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA

lda machine-learning machine-learning-algorithms machinelearning

Last synced: 03 May 2025

https://github.com/etsi-ai/etna

A high level abstraction library designed for effortless tabular data based tasks.

classification deep-learning machine-learning neural-network python rust tabular-data

Last synced: 18 Jan 2026

https://github.com/scitator/animus

Minimalistic framework to run machine learning experiments.

deep-learning jax keras machine-learning pytorch reinforcement-learning tensorflow

Last synced: 05 Sep 2025

https://github.com/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 Jan 2026

https://github.com/santiagxf/prometheus

Prometheus is a machine learning powered solution for early detection of fires in national parks

alexnet cntk deep-learning detection drones fire machine-learning transfer-learning

Last synced: 24 Apr 2025

https://github.com/networks-learning/curb

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

control fake-news machine-learning point-processes

Last synced: 23 Apr 2025

https://github.com/pmichel31415/p-dro

Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

dro machine-learning natural-language-processing

Last synced: 11 Mar 2026

https://github.com/hoangsonww/rag-langchain-ai-system

🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates document retrieval, dynamic entity extraction, and external API calls to generate context-aware responses with an interactive AI assistant.

bert expressjs faiss flask google-colab huggingface langchain langchain-python language-model llama2 llm machine-learning ngrok ollama ollama-api python rag retrieval-augmented-generation transformers typescript

Last synced: 14 Apr 2025

https://github.com/notedance/optimizers

This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning

deep-learning deep-reinforcement-learning deeplearning keras machine-learning machinelearning optimizer optimizer-algorithms reinforcement-learning tensorflow

Last synced: 30 Apr 2025

https://github.com/dorsaroh/transformer-from-scratch

Complete transformer from scratch, using only numpy

generative-ai machine-learning numpy transformer

Last synced: 26 Jun 2026

https://github.com/davidalami/VulnMapAI

VulnMapAI combines the power of nmap’s detailed network scanning and the advanced natural language processing capabilities of GPT-4 to generate comprehensive and intelligible vulnerability reports. It aims to facilitate the identification and understanding of security vulnerabilities.

hacking hackthebox hacktoberfest machine-learning penetration-testing port-scanning security tryhackme vulnerability-scanners

Last synced: 07 Sep 2025

https://github.com/wassname/satellite_leak_detection

Detect water leaks from satellite images using machine learning

drinking-water machine-learning satellite-images

Last synced: 15 Apr 2025

https://github.com/kaslanarian/pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

machine-learning one-class-svm python random-fourier-features svm svm-classifier svm-kernel svm-regressor

Last synced: 08 May 2025

https://github.com/mati365/neural-cars

🚗 Neural network 2D cars ray collision detection using ML genetic training algorithm

canvas cars game genetic-algorithm machine-learning neural-cars neural-network react

Last synced: 24 Apr 2025

https://github.com/primozgodec/imagecolorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

artificial-intelligence colorization datamining image-colorization machine-learning neural-network

Last synced: 10 Mar 2026

https://github.com/alan-turing-institute/timeseriesclassification.jl

Machine Learning with Time Series in Julia

julia machine-learning time-series

Last synced: 05 May 2025

https://github.com/ml-libs/mlserve

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

machine-learning mlserve model-deployment model-serving scikit-learn

Last synced: 28 Jan 2026

https://github.com/SOM-Research/DescribeML

DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.

data-science dataset-generation datasets describeml langium machine-learning model-driven modeling open-data open-datasets visual-studio-code vscode

Last synced: 25 Oct 2025

https://github.com/wellflat/opencv-samples

OpenCV sample codes (C++/Python)

computer-vision cpp machine-learning opencv python

Last synced: 21 Mar 2025

https://github.com/RuntianZ/doro

Distributional and Outlier Robust Optimization (ICML 2021)

distributional-shift fairness machine-learning

Last synced: 08 May 2025

https://github.com/mattdangerw/keras-text-generation

RNN text generation using Keras for word and character level models.

deep-learning keras machine-learning python recurrent-neural-networks text-generation

Last synced: 30 Apr 2025

https://github.com/khamidieh/predict_tc

Predict the Critical Temperature of a Superconductor

machine-learning solid-state-chemistry solid-state-physics superconductivity

Last synced: 22 Jul 2025

https://github.com/ashishpatel26/meta-learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

andrew-ng appliedaicourse chainer cnn coursera deeplearning dl ensemble ensemble-learning keras machine-learning metalearning ml pytorch tensorflow

Last synced: 14 May 2025

https://github.com/RainingComputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 15 Jul 2025

https://github.com/stevenabreu7/handson_reservoir

Repository for paper "Hands-on reservoir computing" (NCE, 2022)

machine-learning physical-computing reservoir reservoir-computing tutorial

Last synced: 14 Apr 2025

https://github.com/gully/blase

Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX

astronomy interpretable-machine-learning machine-learning spectroscopy

Last synced: 29 Jul 2025

https://github.com/pnnl/ddks

A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions

machine-learning physics statistics

Last synced: 25 Aug 2025

https://github.com/bobld/pdfpigmlnetblockclassifier

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

classifier csharp document-layout document-layout-analysis layout-analysis lightgbm machine-learning ml-net pdf pdf-document pdf-document-processor pdfpig publaynet

Last synced: 14 Apr 2025

https://github.com/oracle/sandwood

Sandwood - A JVM based Java like Probabilistic Programming Language

compiler java machine-learning ml probabilistic-models probabilistic-programming runtime

Last synced: 17 Aug 2025

https://github.com/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 13 May 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 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 11,025 Uncategorized 8,019 Books 4,057 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,387 **Literature and Codes** 2,261 Vision 2,030 Repos 1,865 Paper List 1,715 Table of Contents 1,673 fl in top ml conference and journal 1,564 Blog Posts 1,561 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 1,019