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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/smakosh/perceptron-neural-net-from-scratch

A single artificial neuron built from scratch to understand the maths behind neural nets !

machine-learning network neural perceptron perceptron-learning-algorithm

Last synced: 17 Oct 2025

https://github.com/SCRN-VRC/Point-Pillars-in-UnityCG

Implementation of PointPillars paper in Unity for VRChat

machine-learning point-cloud pointpillars shaders unity3d vrchat

Last synced: 20 Mar 2025

https://github.com/lucastheis/logistic_lda

Basic tensorflow implementation of logistic latent Dirichlet allocation

classification lda machine-learning tensorflow topic-modeling

Last synced: 03 May 2025

https://github.com/ozguraslank/flexml

Easy-to-use and flexible AutoML library for Python

automl data-science machine-learning python scikit-learn

Last synced: 18 Jul 2025

https://github.com/So-Cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 15 Jul 2025

https://github.com/xiaorancs/business-exit-risk-forecast

企业经营退出风险预测，二分类问题

machine-learning python xgb

Last synced: 15 Jun 2025

https://github.com/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 22 Apr 2025

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/rpatrik96/nl-causal-representations

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model

Last synced: 03 Jul 2025

https://github.com/mlr-org/mlr3-learndrake

Template for using mlr3 with drake

drake machine-learning mlr3 r reproducibility workflow

Last synced: 15 Mar 2025

https://github.com/waikato-datamining/adams-base

Base modules for ADAMS, the Advanced Data Mining and Machine Learning System.

java machine-learning maven workflow-engine

Last synced: 30 Apr 2025

https://github.com/sayan-maity/all-project-directory

List of all of my Projects 👨‍💻 🚀

machine-learning web-development

Last synced: 09 Mar 2025

https://github.com/dalmia/deep-learning-tutorials

Deep learning tutorials for classification of MNIST digits using CNNs and solutions to assignments for Udacity's deep learning course

deep-learning machine-learning tensorflow

Last synced: 02 Jul 2025

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/xhluca/covid-qa

A collection of COVID-19 question-answer pairs and transformer baselines for evaluating QA models (Official Repository)

dataset machine-learning question-answering

Last synced: 08 Apr 2025

https://github.com/radiantearth/model_ecaas_agrifieldnet_gold

AgriFieldNet Model for Crop Detection from Satellite Imagery

earth-observation gradient-boosting machine-learning unet

Last synced: 12 Apr 2025

https://github.com/kennethleungty/data-centric-ai-competition

Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI

ai andrew-ng data-centric data-centric-ai data-science deep-learning machine-learning

Last synced: 09 Jul 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/getindata/quickstart-ml-blueprints

Data science project development best practices and state of the art open-source tooling forged into a set of solved ML use cases to serve as blueprints for efficient prototyping.

data-science machine-learning

Last synced: 09 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/ultralytics/wave

WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.

deep-neural-networks machine-learning physics-analysis scintillation sipm time-of-flight

Last synced: 25 Apr 2025

https://github.com/juliagenai/colbert.jl

Efficient late-interaction retrieval systems in Julia!

colbert gen-ai information-retrieval llms machine-learning rag

Last synced: 23 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/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/francois-rozet/papers-101

Implementation of papers in 101 lines of code.

101 deep-learning generative machine-learning papers research

Last synced: 19 Jul 2025

https://github.com/rzykov/fastml4j

Fast Scala and nd4j based machine learning framework

machine-learning machine-learning-algorithms nd4j scala

Last synced: 14 Jan 2026

https://github.com/barisyazici/tum_masters_thesis

Master's thesis in Computer Science at Technical University of Munich. Written in latex.

deep-learning latex machine-learning thesis

Last synced: 09 Apr 2025

https://github.com/google-research/active-adversarial-tests

Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

adversarial-attacks adversarial-examples machine-learning machinelearning robustness

Last synced: 24 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/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/ondrejbiza/bandits

Comparison of bandit algorithms from the Reinforcement Learning bible.

machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book

Last synced: 25 Oct 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/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/jupiters1117/mico

MICO: Mutual Information and Conic Optimization for feature selection

conic-programs convex-optimization feature-selection machine-learning mutual-information python semidefinite-programming

Last synced: 14 Jan 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/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/joylarkin/my-ai-resource-list

A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.

agi ai ai-2025 ai-ecosystem ai-leaderboards ai-list ai-resources ai-tools api artificial-intelligence asi awesome-ai cerebral-valley documentation machine-learning ml prompts sdk

Last synced: 20 Feb 2026

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/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/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/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/ssydasheng/gpflow-slim

customized GPflow with simple Tensorflow API

gaussian-processes machine-learning

Last synced: 11 Sep 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/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/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/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/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/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/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/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/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/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/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/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/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/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/kujenga/goml

Experimental ML implementations in Go

go machine-learning mnist neural-networks

Last synced: 06 May 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/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/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/iterative/studio-support

❓ DVC Studio Issues, Question, and Discussions

data-science dvc machine-learning mlops support

Last synced: 04 Feb 2026

https://github.com/erupturatis/neuralnetworkplayground

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

backpropagation d3 d3js d3js-graph machine-learning neural-network neural-network-visualization react reactjs rendering visualization

Last synced: 31 Aug 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/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/marceariel99/simil-photo

Software to detect and delete similar images in a directory

machine-learning python

Last synced: 21 Apr 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/nazanin1369/datamining-knn

Implement KNN classification algorithm in Python

knn-classification machine-learning

Last synced: 23 Mar 2025

https://github.com/thudm/mrt

MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)

data-mining machine-learning

Last synced: 30 Nov 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/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/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/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

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-jax 218 awesome-ml4co 615
Machine learning Categories
Papers 11,053 Uncategorized 8,052 Books 4,096 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,387 **Literature and Codes** 2,279 Vision 2,030 Repos 1,864 Paper List 1,715 Table of Contents 1,714 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 Attack 1,071 Computational Information Geometry 1,071 Research Papers 1,032 Videos 1,013