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/h2oai/h2o-kubernetes

H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.

ai artificial-intelligence cluster h2o h2o-kubernetes kubernetes kubernetes-cluster kubernetes-deployment machine-learning rust

Last synced: 07 Apr 2025

https://github.com/RuedigerVoigt/exoskeleton

A Python framework to build polite, but tenacious crawlers / scrapers with a MariaDB backend

crawler crawling-framework database machine-learning mariadb network python python-3 scraping

Last synced: 17 Apr 2025

https://github.com/bobld/yolov3mlnet

Use the YOLO v3 (ONNX) model for object detection in C# using ML.Net

computer-vision csharp dotnet machine-learning ml ml-net neural-network object-detection onnx onnx-torch python yolo yolov3

Last synced: 16 Aug 2025

https://github.com/code2k13/rpipico_digit_classification

Identification of handwritten digit from images taken by a  OV7670 camera module connected to a Raspberry Pi Pico and a 120x160 TFT LCD display. The Pi Pico running CircuitPython handles everything from image acquisition to post-processing and inference. This code is somewhat experimental, but it is fun to play with. For more information, please visit the project's webpage.

artificial-intelligence camera circuitpython edge-computing edge-machine-learning image-recognition machine-learning ov7670 python raspberry-pi-pico rp2040 scikitlearn-machine-learning st7735r tft-display

Last synced: 29 Aug 2025

https://github.com/jh-jeong/smoothmix

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

adversarial-defense deep-learning machine-learning neurips-2021 paper randomized-smoothing robustness

Last synced: 15 Aug 2025

https://github.com/sukanyabag/covid19-detection-using-x-rays-webapp

In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.

convolutional-neural-networks covid-19 deep-learning flask-application kaggle-dataset keras-tensorflow machine-learning

Last synced: 24 Apr 2025

https://github.com/orehga/babewatch

Laravel Application using Machine Learning to ensure a 👶🏾 is secure

laravel machine-learning php

Last synced: 15 Jul 2025

https://github.com/chandlerbang/pytorch-gnn-meta-attack

Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.

adversarial-attacks deep-learning graph-mining graph-neural-networks machine-learning pytorch

Last synced: 08 Apr 2025

https://github.com/decisionfacts/semantic-ai

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

approximate-nearest-neighbor-search deep-neural-networks document-parser docx fastapi inference-api llama2 llm machine-learning ocr openai openai-api pdf rag retrieval-augmented-generation semantic-search vector-database

Last synced: 17 Mar 2026

https://github.com/hassaku/ds-and-ml-with-screen-reader

Data science and machine learning resources for screen reader users

colaboratory data-science machine-learning python screen-reader visually-impaired

Last synced: 01 Nov 2025

https://github.com/ksdkamesh99/knn-visualiser

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.

artificial-intelligence bootstrap4 javascript knn-classifier knn-visualiser machine-learning ml5js p5js

Last synced: 12 May 2025

https://github.com/qainsights/streamlit-jmeter

Powering up Apache JMeter with Streamlit and opening the door for machine learning.

jmeter jmeter-charts jmeter-streamlit machine-learning python streamlit

Last synced: 05 May 2025

https://github.com/cuixuage/machine_learning

Deep Learning and Reinforcement Learning 学习资料

deep-learning machine-learning reinforcement-learning

Last synced: 02 May 2025

https://github.com/minzhang-1/PointHop

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

3d-classification classification feedforward machine-learning point-cloud

Last synced: 20 Mar 2025

https://github.com/dennishnf/unsupervised-anomaly-detection

This repository describes the implementation of an unsupervised anomaly detector using the Anomalib library.

anomaly-detection artificial-intelligence computer-vision deep-learning machine-learning neural-networks object-detection python torch

Last synced: 14 Jul 2025

https://github.com/joisino/gnnrecover

Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)

deep-learning embeddings gnn graph-neural-networks machine-learning node-embeddings pytorch

Last synced: 11 Jul 2025

https://github.com/314arhaam/burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

burgers-equation deep-learning machine-learning neural-network physics-informed-neural-networks

Last synced: 08 Jun 2026

https://github.com/firefly-cpp/sport-activities-features

A minimalistic toolbox for extracting features from sports activity files written in Python

data-mining machine-learning sport-analytics tcx-parser

Last synced: 14 Feb 2026

https://github.com/scienxlab/redflag

Safety net for machine learning pipelines. Plays nice with sklearn and pandas.

data-quality data-quality-checks data-science machine-learning numpy pandas python

Last synced: 06 Oct 2025

https://github.com/neonwatty/bleep-that-shit

Automatically filter, censor, and replace profanity, swear words, curse words, or custom terms in audio and video with a beep or bleep sound effect. Built to self-host with Python, AI, Streamlit, and Docker. Free and open source.

artificial-intelligence audio-processing machine-learning python self-hosted youtube

Last synced: 18 Oct 2025

https://github.com/szilard/gbm-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/amanpriyanshu/fedpaq-mnist-implemenation

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

deep-learning edge-computing federated-learning machine-learning periodic-averaging quantization

Last synced: 06 Oct 2025

https://github.com/eth-sri/dp-sniper

A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.

differential-privacy machine-learning

Last synced: 06 Oct 2025

https://github.com/graphcore-research/jax-experimental

JAX for Graphcore IPU (experimental)

ai deep-learning graphcore ipu jax machine-learning

Last synced: 17 Jan 2026

https://github.com/engineeringsoftware/roosterize

Tool for suggesting lemma names in Coq verification projects

coq deep-learning machine-learning mathcomp name-generation neural-networks pytorch serapi

Last synced: 21 Feb 2026

https://github.com/spaceml-org/missing-pixel-filler

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

aqua arxiv deep-learning keras machine-learning python remote-sensing satellite-imagery swath-gaps tensorflow terra uc-mercer-land uc-mercer-visualization

Last synced: 08 Jan 2026

https://github.com/hollance/sefr-swift

The SEFR classifier implemented in Swift

classifier machine-learning machine-learning-algorithms swift

Last synced: 25 Mar 2025

https://github.com/code-kern-ai/embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.

classification machine-learning named-entity-recognition natural-language-processing ner nlp python representation-learning similarity-search

Last synced: 24 Apr 2025

https://github.com/levnikmyskin/that_metric_timeline

That Metric Timeline (TMT) is a Python library aimed at the machine/deep learning practitioner/researcher. It helps tracking experiments, saving code, metrics and results

deep-learning machine-learning python utility-library

Last synced: 14 Jan 2026

https://github.com/openvax/pepnet

Neural networks for amino acid sequences

biological-data-analysis machine-learning neural-networks protein-sequences

Last synced: 27 Dec 2025

https://github.com/andrefcruz/bias-detection

Detection of propaganda or partisan allegiance in natural text.

bias-detection fairness hyperpartisan-news machine-learning propaganda pytorch

Last synced: 21 Aug 2025

https://github.com/agiflow/agiflow-sdks

LLM QA, Observability, Evaluation and User Feedback

agents llm-agent llm-evaluation llmops llms machine-learning python typescript

Last synced: 02 Mar 2026

https://github.com/zht007/tensorflow-2.x-vs-pytorch-comparison-tutorials

Tensorflow 2.x 和 PyTorch 对比学习教程。小孩才做选择,成年人全都要。

deep-learning machine-learning neural-network pytorch tensorflow

Last synced: 10 Jul 2025

https://github.com/dhruvdcoder/wandb-allennlp

Utilities and boilerplate code to use wandb with allennlp

allennlp deep-learning machine-learning sweep wandb

Last synced: 11 Sep 2025

https://github.com/mage-ai/machine_learning

The definitive end-to-end machine learning (ML lifecycle) guide and tutorial for data engineers.

artificial-intelligence data-engineering machine-learning

Last synced: 14 Jul 2025

https://github.com/earth-artificial-intelligence/earth_ai_book_materials

The repo contains the source code, notebooks, and technical resources that assist students to read the book Artificial Intelligence in Earth Science.

data-science earth-science machine-learning python

Last synced: 08 May 2025

https://github.com/ruedigervoigt/exoskeleton

A Python framework to build polite, but tenacious crawlers / scrapers with a MariaDB backend

crawler crawling-framework database machine-learning mariadb network python python-3 scraping

Last synced: 13 Apr 2025

https://github.com/Cumulocity-IoT/r-pmml

Generate PMML for various machine learning and statistical models.

machine-learning pmml r zementis

Last synced: 31 Oct 2025

https://github.com/lab-cosmo/atomistic-cookbook

A collection of simulation recipes for the atomic-scale modeling of materials and molecules

atomistic-simulations machine-learning modeling molecular-dynamics simulation

Last synced: 03 May 2025

https://github.com/anjohan/neuralnetwork

Simple, parallel, object-oriented Fortran neural network

coarray-fortran fortran machine-learning neural-network

Last synced: 07 Feb 2026

https://github.com/hand10ryo/PyTorchCML

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 29 Apr 2025

https://github.com/albumentations-team/albucore

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

albumentations artificial-intelligence automation computer-vision data-augmentation deep-learning efficiency high-performance-computing image-augmentation image-processing machine-learning neural-networks opencv performance-optimization python

Last synced: 16 Jun 2025

https://github.com/edrubin/ec524w22

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taught by Ed Rubin

course data-science econometrics machine-learning prediction university

Last synced: 04 Jan 2026

https://github.com/lucko515/search-book-by-cover-server

This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.

content-based-image-retrieval deep-learning end-to-end-machine-learning flask machine-learning tensorflow

Last synced: 14 Apr 2025

https://github.com/rcarmo/azure-toolbox

A Docker container with Azure Resource Manager administration tools and a machine/deep learning stack

azure cntk deep-learning machine-learning tensorflow toolbox vnc-server

Last synced: 23 Mar 2025

https://github.com/18D070001/Electrical-Devices-Identification-Model

Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

colab-notebook electrical feature-engineering feature-extraction machine-learning nilm nilm-algorithms python-3 signal-processing

Last synced: 06 Apr 2025

https://github.com/theroyakash/adam

Implementation of Adam Optimization algorithm using Numpy

adam-optimizer algorithms deep-learning machine-learning numpy numpy-neural-network python3

Last synced: 12 Apr 2025

https://github.com/bminixhofer/tokenkit

A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.

distillation jax llms machine-learning tokenization tokenizer-transfer transfer-learning

Last synced: 15 May 2025

https://github.com/sircamp/kaggle-breast-cancer-prediction

Different approaches as (ANN,DecisionTree,Bayes and KNeighbors) to solve and predict with the best accuracy malignous cancers

kaggle-competition machine-learning machine-learning-algorithms sklearn

Last synced: 15 May 2025

https://github.com/danielfrg/demucs-app

Use DEMUCS to split songs into multiple sources

demucs docker js machine-learning music react

Last synced: 17 Mar 2025

https://github.com/smarie/python-m5p

An implementation of M5 and model trees in python, compliant with scikit-learn.

m5 machine-learning model prime regression scikit-learn tree

Last synced: 26 Oct 2025

https://github.com/cod3licious/conec

Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings

machine-learning natural-language-processing word-embeddings

Last synced: 12 Aug 2025

https://github.com/wangkua1/vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

generative-models machine-learning model-inversion privacy-attacks

Last synced: 27 Jul 2025

https://github.com/ravin-d-27/pydeepflow

This is my own Deep Learning Package, optimized for performing Deep Learning Tasks and easy to learn and integrate into projects.

deep-learning hacktoberfest hacktoberfest-accepted hacktoberfest2024 machine-learning neural-networks python

Last synced: 08 Oct 2025

https://github.com/nxr-deen/ai-chatbot

AI Chatbot in HTML CSS & JavaScript

ai chat chatbot chatgpt css gemeni generate html javascript js machine-learning

Last synced: 23 Apr 2025

https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

Last synced: 08 Oct 2025

https://github.com/techtonique/nnetsauce

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

deep-learning machine-learning neural-networks quasi-randomized statistical-learning

Last synced: 21 Oct 2025

https://github.com/dgac/acropole

This repository contains the Acropole model for aircraft fuel flow prediction and Python packages for aircraft trajectory processing and fuel flow enhancement.

air-traffic-management aircraft-performance artificial-intelligence environment machine-learning

Last synced: 16 Mar 2026

https://github.com/lucastheis/trlda

Implementations of various online inference algorithms for LDA, with Python interface.

lda machine-learning python topic-modeling variational-inference

Last synced: 16 Mar 2026

https://github.com/trainindata/forecasting-with-machine-learning

Code repository for the course "Forecasting with Machine Learning Models"

forecasting machine-learning time-series

Last synced: 17 Jan 2026

https://github.com/virtualscenery/greenscreenstream

Generate MediaStreams for Canvas & Video elements based on MediaStream and a background using pure shaders and / or machine-learning. Just using JavaScript/Typescript. Renders in browser

canvas greenscreen machine-learning mediastream mediastream-api shaders tensorflow usermedia webgl2 webrtc

Last synced: 07 Jul 2025

https://github.com/mainakrepositor/liver-disease-prediction

Detect and predict the onset or presence of hepatic disease in the patient using machine learning

decision-tree-classifier dep machine-learning streamlit

Last synced: 02 May 2025

https://github.com/lightning-ai/lightning-habana

Lightning support for Intel Habana accelerators.

deep-learning machine-learning python pytorch

Last synced: 11 Apr 2025

https://github.com/skshadan/opencv-dji-drones

Use OpenCV with any model of DJI Drones, you can gain access to the real-time camera feed of your drone. This allows for live streaming and analysis of the drone's field of view, providing valuable insights for various applications including aerial photography, surveying, and drone-based monitoring systems.

aerial-photography aerial-surveying aws dji dji-drone dji-drones drone-api drones environmental-monitoring machine-learning object-detection opencv real-time-video-processing rtmp-server video-streaming

Last synced: 08 Sep 2025

https://github.com/takashiishida/irreducible

[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

machine-learning

Last synced: 11 Apr 2025

https://github.com/augus1999/bayesian-flow-network-for-chemistry

ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.

bayesian-flow-networks cheminformatics chemistry generative-model machine-learning molecular-modeling qsar qspr transformer

Last synced: 10 Apr 2025