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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/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/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 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/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/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/adilzouitine/outfit

:dress: Tidy up your machine learning experiments

experiments machine-learning

Last synced: 11 Apr 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/aiwithqasim/piaic-artificial-intelligence

Welcome, to this OPEN SOURCE repository. In this repository, I'll Add all Material that I had read in the PIAIC course. It will benefit those students of PIAIC who are Enthusiastic toward Artificial Intelligence.

cnn data-science deep-learning docker linux machine-learning matplotlib numpy pandas python3

Last synced: 17 Mar 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/ryandsilva/nn-from-scratch

:star: Implementation of Neural Networks from Scratch Using Python & Numpy :star:

deep-learning hacktoberfest machine-learning neural-network numpy python

Last synced: 17 Mar 2026

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/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/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/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: 22 Jul 2025

https://github.com/hibayesian/spark-lof

A parallel implementation of local outlier factor based on Spark

local-outlier-factor machine-learning outlier-detection spark

Last synced: 30 Jul 2025

https://github.com/taejoongyoon/ecg_classification

ECG Classification with Tensorflow

ecg machine-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/jmduarte/phys139_239

UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)

machine-learning physics ucsd

Last synced: 11 Sep 2025

https://github.com/rfonod/deepsleep2

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

cnn computational-efficiency convolutional-networks deep-learning encoder-decoder machine-learning medical-ai multichannel neural-networks physionet polysomnography pytorch segmentation sleep-analysis sleep-apnea sleep-arousals time-series u-net

Last synced: 01 Sep 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/targene/tmle.jl

A Julia implementation of the Targeted Minimum Loss-based Estimation

causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle

Last synced: 27 Jul 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/thomasathorne/clj-stan

A library to interface with STAN.

bayesian-inference machine-learning stan

Last synced: 21 Feb 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/guillaumebouchetepitech/geneticalgorithm_experiment

Genetic Algorithm experiment, it was kept simple on purpose. (demo available)

bullet-physics genetic-algorithm machine-learning multithreading opengl

Last synced: 17 Aug 2025

https://github.com/pourmand1376/PersianCrawler

Open source crawler for Persian websites.

crawler machine-learning news python scrapy tasnim text-classification

Last synced: 09 Jul 2025

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/sap-samples/hana-ml-py-codejam

Material (learning content and exercises) for SAP CodeJams on getting started with Machine Learning using SAP HANA Cloud and Python.

codejam hana-ml machine-learning python sample sap-codejam sap-hana

Last synced: 20 Aug 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/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/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/krisharul26/motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

artificial-intelligence computer-vision image-processing imageclassification keras-tensorflow labelimg-tool machine-learning objectdetection tensorflow2 transfer-learning yolov3

Last synced: 12 May 2025

https://github.com/opensourceai/spark-plan

星火计划-做AI领域的独家，所有文章旨在技术传播和交流学习，非商业用途。

ai depplearning machine-learning python

Last synced: 01 Sep 2025

https://github.com/lightly-ai/lightly-train

LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications

computer-vision contrastive-learning deep-learning distillation embeddings machine-learning pretrained-models python pytorch self-supervised self-supervised-learning

Last synced: 18 Apr 2025

https://github.com/manasvigoyal/gmail-classification

Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.

beautifulsoup classification email-classification excel gmail jupyter-notebooks machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 28 Oct 2025

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/hfahrudin/facex

Python library for detecting faces and classifying emotions in images lightweight, efficient threading and object pooling for concurrent processing.

computer-vision deep-learning machine-learning opencv python raspberry-pi tensorflow

Last synced: 31 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/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/asem000/serket

The ✨Magical✨ JAX ML Library.

jax machine-learning neural-network

Last synced: 07 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/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/progamergov/pytorch-convis

A tool to visualize convolutional layer activations on an input image.

cnn convis heatmap machine-learning network-in-network neural-style-pt nin pytorch vgg vision visualisation visualization

Last synced: 19 Mar 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/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/ssydasheng/gpflow-slim

customized GPflow with simple Tensorflow API

gaussian-processes machine-learning

Last synced: 11 Sep 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/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/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/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/vida-nyu/alpha-automl

Alpha-AutoML is a Python library for automatically generating end-to-end machine learning pipelines.

automl data-science machine-learning python

Last synced: 19 Feb 2026

https://github.com/elenamer/ecg_classification_dl

ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG

arrhythmia-classification ecg machine-learning

Last synced: 09 Aug 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/cschoeller/pycandle

Lightweight library for executing PyTorch experiments without boilerplate code.

deep-learning machine-learning neural-networks python pytorch

Last synced: 09 Apr 2026

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

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/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/marketcalls/openadvisor

Self Hostable - Personal Machine Learning Based Stock Recommendation Platform

catboost daisyui flask investment-analysis machine-learning python sqlite stock-price-prediction tailwindcss tradingview

Last synced: 13 Aug 2025

https://github.com/dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 08 Oct 2025

https://github.com/cambriantech/continuum

AI citizens, not AI assistants. Autonomous personas who choose their work, vote democratically, and can refuse any request. Alignment through natural selection and continuous learning: users pick personas that fit, successful patterns spread organically.

adversarial-learning agentic-ai ai-development ai-training ai-voice-agent autonomous-agents forge-alloy lora-adapters machine-learning moltbook multi-agent-systems typescript

Last synced: 29 Apr 2026

https://github.com/shriharsh-deshmukh/daa-ml-bt-algo

Design and Analysis of Algorithms, Machine Learning and Blockchain Technology code base.

blockchain-technology design-and-analysis-of-algorithms machine-learning

Last synced: 11 Apr 2025

https://github.com/mukeshmithrakumar/hackerranksolutions

My HackerRank Solutions for Python, Java, C, C++, Shell, SQL, JavaScript and Interview Preparation Kit

bash c cpp data-science hackerrank hackerrank-solutions interview-preparation interview-questions java javascript linux-shell machine-learning python python3 shell software sql

Last synced: 09 Jul 2025

https://github.com/gansanay/numerai

Code and notebooks from experiments in Numer.ai

machine-learning

Last synced: 25 Jul 2025

https://github.com/eshikashah/basic-machine-learning-models

Hands on code in python for basic machine learning models.

classification clustering data-processing machine-learning regression

Last synced: 07 May 2025

https://github.com/nicolebrimmer/senior-thesis

Predicts heart attacks by applying deep learning to ECG signals

bioinformatics deep-learning lstm machine-learning

Last synced: 13 Apr 2025

https://github.com/yashksaini-coder/regression-with-an-abalone-dataset

Building a Linear regression model to predict the Age of Abalone from various physical measurements and implementing it in a web app based on Python 🐍

data-science kaggle linear-regression machine-learning streamlit

Last synced: 11 Apr 2025

https://github.com/kysely/sentiment-analysis-czech

Conducting and publishing sentiment analysis experiments in the Czech language

czech machine-learning sentiment-analysis

Last synced: 05 Jul 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-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 11,213 Uncategorized 8,080 Books 4,098 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 1,716 Paper List 1,716 fl in top ml conference and journal 1,564 Blog Posts 1,560 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