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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/deepai-org/ai_integration

AI Model Integration for python

ai api machine-learning python python27 python3

Last synced: 13 Apr 2025

https://github.com/ecrl/ecnet

QSPR-based machine learning for fuel property prediction

cetane-number computational-chemistry fuel-property-prediction machine-learning neural-network pytorch qspr

Last synced: 06 Mar 2026

https://github.com/rizalzaf/adversarialprediction.jl

Easily optimize generic performance metrics in differentiable learning.

adversarial-prediction deep-learning machine-learning neural-networks

Last synced: 21 Oct 2025

https://github.com/vpn1997/2048-ai

Bot playing 2048

game-theory machine-learning

Last synced: 18 Oct 2025

https://github.com/jeds6391/lgp

A robust Linear Genetic Programming implementation on the JVM using Kotlin.

ai genetic-programming gp jvm kotlin lgp linear-genetic-programming machine-learning

Last synced: 12 Oct 2025

https://github.com/vigyaai/profile-picker-

The project is based on semantic search for "Semantic Search AI Hackathon on LabLab.ai"

cohere css deeplearning html javascript jupyter-notebook machine-learning ml node python semanticsearch webdevelopment

Last synced: 06 Oct 2025

https://github.com/soskek/variational_dropout_sparsifies_dnn

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

chainer deep-learning icml machine-learning neural-network

Last synced: 13 Oct 2025

https://github.com/adilsaid64/reddit-project

A reddit sentiment analysis application. Allows users to search for a subreddit and get a sentiment report of the overall subreddit and posts within the subreddit. Built using streamlit.

aws machine-learning nlp reddit s3 sentiment-analysis streamlit webapp

Last synced: 28 Feb 2026

https://github.com/alexioannides/llm-regression

Exploring the classical regression capabilities of LLMs.

genai llm machine-learning openai regression

Last synced: 20 Oct 2025

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/ceteri/nbtransom

Machines and people collaborating together through Jupyter notebooks.

active-learning collaborative-documents human-in-the-loop jupyter-notebook machine-learning pipelines python

Last synced: 23 Apr 2025

https://github.com/anushka23g/parkinson-disease-classification

A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis

dataset diagnosis machine-learning parkinson-disease voice

Last synced: 05 Jul 2025

https://github.com/sinanuozdemir/oreilly-bert-hands-on-nlp

This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT

artificial-intelligence bert deep-learning machine-learning nlp transfer-learning

Last synced: 24 Apr 2025

https://github.com/hemangjoshi37a/personalgoalassistant

AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.

ai automation autonomous-agents computer-vision data-preprocessing deep-learning finance goal-setting machine-learning mimic natural-language-processing open-source personal-goals productivity python reinforcement-learning social-media user-data

Last synced: 12 Aug 2025

https://github.com/michellebonat/fed_funds_ml

Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Federal Reserve Bank - meetings minutes.

ai federal-reserve-bank finance financial-services machine-learning nlp python3

Last synced: 22 Apr 2025

https://github.com/vidursatija/tf-hack2.0

⚡#PoweredByTF 2.0 Challenge! [ /w @inishchith ]

cv green-app hackathon javascript machine-learning python python3 tensorflow

Last synced: 02 Sep 2025

https://github.com/brakmic/data-science-for-losers

:chart_with_upwards_trend: Articles on Data Science, Jupyter, and Pandas

data-science jupyter machine-learning python

Last synced: 23 Apr 2025

https://github.com/mitre/ilpyt

ilpyt: imitation learning library with modular, baseline implementations in Pytorch

imitation-learning machine-learning reinforcement-learning

Last synced: 21 Apr 2025

https://github.com/leonjessen/keras_tensorflow_on_iris

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

classification datascience deep-learning ggplot iris-dataset keras machine-learning neural-network r rstudio tensorflow tensorflow-tutorials tutorial

Last synced: 13 Jun 2025

https://github.com/tdspora/syngen

Open-source version of the TDspora synthetic data generation algorithm.

generation machine-learning synthetic-data tabular-data

Last synced: 09 Jun 2026

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/livelace/opennlp-models

OpenNLP models for Russian language based on news feeds.

machine-learning news opennlp opennlp-models russian-language

Last synced: 09 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/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/georg-wolflein/good-features

Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"

cancer computational-pathology computer-vision deep-learning machine-learning self-supervised-learning

Last synced: 16 Jan 2026

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/alexsosn/associationbot

iOS association game chatbot. AI based on neural word embedding language model. Image recognition with convolutional neural net.

chatbot ios machine-learning natural-language-processing neural-network word2vec

Last synced: 31 Aug 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/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/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/amitkaps/datascience

Build and Deploy Machine Learning Models on the Cloud

cloud data-science machine-learning python

Last synced: 10 Nov 2025

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/h2oai/mlops-dai-runtimes

Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/

h2o h2oai machine-learning model-deployment model-server model-serving mojo

Last synced: 07 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/nmandery/extended-isolation-forest

Rust port of the extended isolation forest algorithm for anomaly detection

anomaly-detection isolation-forest machine-learning

Last synced: 30 Aug 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/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/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/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/riscy/machine_learning_linear_models

A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.

linear-model machine-learning

Last synced: 11 Apr 2025

https://github.com/mchav/courseramachinelearning

Exercises and notes from the Coursera Machine Learning Course by Andrew Ng.

haskell machine-learning machine-learning-coursera

Last synced: 25 Mar 2025

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/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/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/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/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/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/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/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/jalajthanaki/stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

djia machine-learning predictive-analytics price stock-price-prediction

Last synced: 13 Oct 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/elbruno/elbruno.qwentts

Qwen3-TTS ONNX export pipeline + C# .NET 10 console app for local voice generation

ai csharp dotnet machine-learning nuget onnx onnx-runtime qwen qwen3-tts speech-synthesis text-to-speech tts voice-cloning

Last synced: 15 Apr 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/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/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/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/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/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/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/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/aspuru-guzik-group/golem

Golem: an algorithm for robust experiment and process optimization

experimental-design machine-learning optimization

Last synced: 11 Apr 2025

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/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/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/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/tushartushar/ml4sca

Machine Learning for Source Code Analysis

literature-review machine-learning ml4se software-engineering survey

Last synced: 11 Apr 2026

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

❓ DVC Studio Issues, Question, and Discussions

data-science dvc machine-learning mlops support

Last synced: 04 Feb 2026

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-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 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 11,231 Uncategorized 8,071 Books 4,097 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,414 **Literature and Codes** 2,279 Vision 2,030 Repos 1,864 Table of Contents 1,786 fl in top ml conference and journal 1,564 Blog Posts 1,560 Paper List 1,549 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,158 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,032 Videos 1,012