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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/gher-uliege/dincae.jl

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

earth-observation julia machine-learning satellite-data

Last synced: 14 Apr 2025

https://github.com/sairajk/asia

[SIGGRAPH Asia 2025] "ASIA: Adaptive 3D Segmentation using Few Image Annotations ".

3d controlnet deep-learning few-shot few-shot-segmentation machine-learning mesh-segmentation segmentation stable-diffusion test-time-optimization

Last synced: 18 Apr 2026

https://github.com/mattcunningham/naive-apl

Naive Bayesian Classifier written in APL

api bayes-classifier bayesian machine-learning

Last synced: 15 Feb 2026

https://github.com/a-ws-m/unlocknn

A Python package for adding uncertainties to neural network models of chemical systems.

chemistry keras machine-learning materials-science python tensorflow-probability

Last synced: 28 Feb 2026

https://github.com/insitro/kindel

KinDEL is a large DNA-encoded library dataset containing two kinase targets (DDR1 and MAPK14) for benchmarking machine learning models.

dataset dna-encoded-library kinase machine-learning

Last synced: 06 Feb 2026

https://github.com/loaiabdalslam/dbd

Demo By Demo Machine Learning Book Written in Arabic

book data-science deep-learning machine-learning

Last synced: 29 Jan 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/pyriemann/pyriemann-qiskit

A library for machine learning and quantum programming based on pyRiemann and Qiskit projects

covariance-matrix machine-learning python qiskit quantum-computing riemannian-geometry

Last synced: 10 Mar 2026

https://github.com/farzinkh/partial_discharge

This repository maintain codes and logs for "Partial Discharge Localization in Power Transformer Tanks Using Machine Learning Methods" article.

3d-models article deep-learning machine-learning partial-discharge-localization signal-processing transfer-learning

Last synced: 01 May 2025

https://github.com/getspams/spams-python

Python interface for SPAMS (SPArse Modeling Software)

machine-learning optimization python

Last synced: 16 Jan 2026

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/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/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/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/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/mr-easy/badminton-stroke-classification

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

badminton-stroke-classification data-analysis data-analytics data-science deep-learning machine-learning model-evaluation notebook project time-series-analysis tutorial

Last synced: 31 Aug 2025

https://github.com/pb2204/medical-insurance-cost-prediction

This Medical Insurance Cost Prediction AI Model Will Predict The Cost Of Any Medical Insurance With Around 84.26 % Accuracy...

ai artificial-intelligence hacktoberfest hacktoberfest-accepted jupyter-notebook machine-learning python streamlit streamlit-webapp

Last synced: 15 Apr 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://mayer79.github.io/effectplots/

Fast Effect Plots in R

machine-learning r regression xai

Last synced: 25 Nov 2025

https://github.com/morphl-ai/morphl-model-user-search-intent

Google Cloud Storage connector, pre-processor and model for predicting user search intent based on keywords

ingestion-pipeline machine-learning morphl-platform nlp-machine-learning predict preprocessor pyspark

Last synced: 03 May 2025

https://github.com/beiyuouo/fedhf

🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

distributed-machine-learning federated-learning federated-learning-framework fedhf machine-learning python

Last synced: 19 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/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/braun-steven/simple-einet

An implementation of EinsumNetworks in PyTorch.

deep-learning einsum machine-learning sum-product-networks

Last synced: 30 Apr 2025

https://github.com/unixpickle/char-rnn

Generate text with recurrent neural nets

lstm machine-learning

Last synced: 02 May 2025

https://github.com/akshaybabloo/spikes

A Spiking Neural Network encoder for time series data

machine-learning neural-networks spike-encoders spiking-neural-networks

Last synced: 15 Jun 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/fabioba/mlops-architecture

This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.

airflow docker docker-compose machine-learning mlflow mlops python workflow

Last synced: 08 Sep 2025

https://github.com/priyamakeshwari/teachgpt

An AI Powered teacher that can help you learn your topics faster before exam

ai hacktoberfest hacktoberfest2023 llm machine-learning nlp python

Last synced: 29 Sep 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/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/lfoppiano/grobid-superconductors

Grobid module for superconductor material and properties extraction

crf grobid machine-learning physics superconductors

Last synced: 18 Jan 2026

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

Real-time data drift detection and monitoring for machine learning pipelines.

drift-detection machine-learning python

Last synced: 10 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/sbl-sdsc/mmtf-spark

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

apache-spark big-data machine-learning protein-data-bank protein-ligand-interactions protein-protein-interaction protein-sequences protein-structure scientific-computing

Last synced: 12 Apr 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/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/CarterMcClellan/supercontrast-legacy

Find the best ML model for your use case | Y Combinator Fall 2024

ai aws aws-sdk azure gcp machine-learning ycombinator

Last synced: 22 Mar 2025

https://github.com/databio/geniml

Genomic interval machine learning

genomic-intervals machine-learning representation-learning

Last synced: 17 Jan 2026

https://github.com/ai-infra-curriculum/ai-infra-performance-learning

AI Infrastructure Performance Engineer Learning Track - GPU optimization, inference optimization, and cost reduction

advanced ai-infrastructure cost-optimization curriculum gpu-optimization inference learning machine-learning performance profiling tensorrt

Last synced: 10 Jun 2026

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/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/borchero/pyblaze

Large-Scale Machine and Deep Learning in PyTorch.

deep-learning machine-learning pytorch

Last synced: 01 May 2025

https://github.com/rubydamodar/loan-approval-prediction-

Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

ai-in-finance banking classification classification-internal credit-risk data-science exploratory-data-analysis feature-engineering financial-analytics loan-approval machine-learning matplotlib pandas predictive-modeling python scikit-learn seaborn visualization

Last synced: 17 Jul 2025

https://github.com/PapayaResearch/ctag

Creative Text-to-Audio Generation via Synthesizer Programming @ ICML'24

generative-ai jax machine-learning synthesizer text-to-audio

Last synced: 07 May 2025

https://github.com/maciejkula/binge

Recommendation models that use binary rather than floating point operations at prediction time.

deep-learning learning-to-rank machine-learning matrix-factorization recommender

Last synced: 14 Jul 2025

https://github.com/dermatologist/kedro-multimodal

Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

healthcare jupyter kedro kubeflow machine-learning medical multi-modal pipeline vertex-ai

Last synced: 12 May 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/xaheli/predicting-indian-stocks-price-with-stacked-lstm

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm lstm-neural-networks machine-learning optimisation stock-price-prediction

Last synced: 12 Jul 2025

https://github.com/thomas-bouvier/music-genre-recognition

Musical genre recognition using a CNN

cnn machine-learning music-classification

Last synced: 14 Aug 2025

https://github.com/bridgerust/bridgerust

High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

ai ai-agent bindings chromadb embeddings lancedb machine-learning napi-rs nodejs orm pinecode pyo3 python qdrant rag rust rust-bindings semantic-search vector-database weaviate

Last synced: 01 Mar 2026

https://github.com/borgwardtlab/wtk

A Wasserstein Subsequence Kernel for Time Series.

data-mining machine-learning optimal-transport time-series-classification

Last synced: 11 Jul 2025

https://github.com/iterative/example-repos-dev

Source code and generator scripts for example DVC projects

bash dvc example machine-learning open-source

Last synced: 10 Mar 2026

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/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/zahidkhawaja/gophy

AI-powered CLI tool to help you remember bash commands. Ported to Go.

go golang gpt-3 hacktoberfest language-model machine-learning openai

Last synced: 10 Jul 2025

https://github.com/elysian01/impulse-lifesaviour

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

breast-cancer chronic-kidney-disease covid-19 disease-prediction flask-application heart-disease machine-learning medical-diagnostics prediction

Last synced: 15 Nov 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/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/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/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/mainakrepositor/lung-cancer-detection

Detection and Prediction of Lung Cancer

lungs-cancer machine-learning

Last synced: 02 May 2025

https://github.com/neonwatty/control-notes

Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning

automatic-control deep-learning dynamic-programming dynamic-systems jupyter-notebook machine-learning python recurrent-neural-networks reinforcement-learning

Last synced: 18 Mar 2025

https://github.com/datarmada/minotor

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

data-monitoring explainable-ai machine-learning machine-learning-explainability machine-learning-library machine-learning-production monitoring monitoring-tool observability production-ai production-engineering

Last synced: 30 Oct 2025

https://github.com/parvvaresh/snappfood

sentiment analysis on Snapp!food users' comments using classical machine learning models and LSTM mdoels

css deeplearning docker flask html lstm machine-learning ml natural-language-processing nlp

Last synced: 23 Jun 2025

https://github.com/tatevkaren/convolutional-neural-network-image_recognition_case_study

Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)

case-study cnn cnn-for-visual-recognition cnn-model computer-vision convolutional-neural-networks deep-learning image-recognition keras machine-learning prediction python tensorflow tensorflow-tutorials

Last synced: 24 Oct 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/uber-research/vargp

Variational Auto-Regressive Gaussian Processes for Continual Learning

continual-learning gaussian-processes machine-learning

Last synced: 11 Apr 2025

https://github.com/aayank13/ml4e

ML4E - Learn and master machine learning effortlessly with a comprehensive platform designed for collaboration and growth.

community machine-learning swoc swoc2025 website

Last synced: 12 May 2025

https://github.com/gabeorlanski/stackoverflow-encourages-cheating

Code for the NLP4Prog workshop paper "Reading StackOverflow Encourages Cheating: Adding Question TextImproves Extractive Code Generation"

acl2021 machine-learning natural-language-processing nlp nlp4prog python

Last synced: 22 Sep 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/buabaj/xplore

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

artificial-intelligence data-preprocessing data-science data-wrangling machine-learning

Last synced: 12 Apr 2025

https://github.com/ikivanc/data-driven-cycling-and-workout-prediction

Data-Driven Cycling using Strava data and GPX data analysis. Digital Personal Trainer using old cycling workout data to predict new workouts

botframework chatbot csharp cycling cycling-workouts data-science digital-assistant fastapi gpx-files jupyter-notebook machine-learning machine-learning-algorithms microsoft-teams python strava strava-data

Last synced: 31 Jul 2025

https://github.com/longxingtan/python-profeld

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

data-science machine-learning predictive-maintenance profeld remaining-useful-life survival-analysis tensorflow time-to-event time-to-failure weibull-distribution

Last synced: 17 Sep 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 455 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 11,017 Uncategorized 8,027 Books 4,056 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 2,032 Repos 1,866 Paper List 1,715 Table of Contents 1,675 fl in top ml conference and journal 1,564 Blog Posts 1,539 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,156 Computational Information Geometry 1,071 Attack 1,063 Research Papers 1,028 Videos 940