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Awesome

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/notedance/optimizers

This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning

deep-learning deep-reinforcement-learning deeplearning keras machine-learning machinelearning optimizer optimizer-algorithms reinforcement-learning tensorflow

Last synced: 30 Apr 2025

https://github.com/alan-turing-institute/timeseriesclassification.jl

Machine Learning with Time Series in Julia

julia machine-learning time-series

Last synced: 05 May 2025

https://github.com/norskregnesentral/skchange

skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms

anomaly-detection change-detection machine-learning statistics time-series-segmentation

Last synced: 16 Apr 2025

https://github.com/IBM/MAX-Inception-ResNet-v2

Identify objects in images using a third-generation deep residual network.

docker-image imagenet-classifier keras machine-learning machine-learning-models

Last synced: 13 May 2025

https://github.com/netflix/user2020-metaflow-tutorial

Tutorial contents for useR! 2020 Metaflow workshop

datascience machine-learning metaflow r rstats

Last synced: 01 Jul 2025

https://github.com/davipatti/birdbrain

Code for searching the www.xeno-canto.org bird sound database, and training a machine learning model to classify birds according to their sounds.

bird-species-classification birds birdsong machine-learning python tensorflow

Last synced: 01 Apr 2025

https://github.com/kaslanarian/pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

machine-learning one-class-svm python random-fourier-features svm svm-classifier svm-kernel svm-regressor

Last synced: 08 May 2025

https://github.com/Haleshot/marimo-tutorials

Collection of marimo tutorials which encompass notebook/app examples in varying domains - CS/AI/ML

artificial-intelligence computer-vision data-science image-processing jax llm machine-learning marimo marimo-notebook pytorch recommender-system tensorflow

Last synced: 19 Apr 2025

https://github.com/jjateen/aiot-workshop

This repository contains resources, including circuit diagrams, code, and project files from the IoTics AIoT Workshop, focusing on integrating Artificial Intelligence (AI) with the Internet of Things (IoT). It features hands-on projects exploring sensor integration, cloud services, machine learning, and robotics.

adafruit-io aiot arduino blynk cloud-integration computer-vision cpp deep-learning embedded-systems esp32 gesture-recognition haar-cascade iot machine-learning mediapipe object-detection python sensor-data surveillance wokwi

Last synced: 14 Oct 2025

https://github.com/ibm/max-text-summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 04 Oct 2025

https://github.com/tlverse/origami

:game_die: :crystal_ball: Comprehensive Cross-Validation Engine

cross-validation machine-learning

Last synced: 19 Feb 2026

https://github.com/societe-generale/aikit

Automated machine learning package

automl data-science machine-learning python

Last synced: 15 Jul 2025

https://github.com/primozgodec/imagecolorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

artificial-intelligence colorization datamining image-colorization machine-learning neural-network

Last synced: 10 Mar 2026

https://github.com/davidalami/VulnMapAI

VulnMapAI combines the power of nmap’s detailed network scanning and the advanced natural language processing capabilities of GPT-4 to generate comprehensive and intelligible vulnerability reports. It aims to facilitate the identification and understanding of security vulnerabilities.

hacking hackthebox hacktoberfest machine-learning penetration-testing port-scanning security tryhackme vulnerability-scanners

Last synced: 07 Sep 2025

https://github.com/senior-sigan/kawaiisearch

An application to find similar pictures based on the VGG16 and kNN

fashion image-classification keras knn machine-learning picture similarity-search vgg16

Last synced: 19 Apr 2025

https://github.com/ashishpatel26/meta-learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

andrew-ng appliedaicourse chainer cnn coursera deeplearning dl ensemble ensemble-learning keras machine-learning metalearning ml pytorch tensorflow

Last synced: 14 May 2025

https://github.com/filipbasara0/simple-clip

A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch

contrastive-learning deep-learning machine-learning multi-modal-learning pytorch representation-learning self-supervised-learning siglip zero-shot-classification

Last synced: 11 Apr 2025

https://github.com/dorsaroh/transformer-from-scratch

Complete transformer from scratch, using only numpy

generative-ai machine-learning numpy transformer

Last synced: 26 Jun 2026

https://github.com/hoangsonww/rag-langchain-ai-system

🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates document retrieval, dynamic entity extraction, and external API calls to generate context-aware responses with an interactive AI assistant.

bert expressjs faiss flask google-colab huggingface langchain langchain-python language-model llama2 llm machine-learning ngrok ollama ollama-api python rag retrieval-augmented-generation transformers typescript

Last synced: 14 Apr 2025

https://github.com/boost-R/gamboostLSS

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

boosting-algorithms cran gamboostlss gamlss machine-learning r-language r-package variable-selection

Last synced: 04 Feb 2026

https://github.com/scitator/animus

Minimalistic framework to run machine learning experiments.

deep-learning jax keras machine-learning pytorch reinforcement-learning tensorflow

Last synced: 05 Sep 2025

https://github.com/networks-learning/curb

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

control fake-news machine-learning point-processes

Last synced: 23 Apr 2025

https://github.com/qwenlm/parscale

Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling

large-language-models llm machine-learning scaling-law

Last synced: 12 Jun 2025

https://github.com/dlopezyse/ai-for-bio

A free and collaborative space for Machine Learning 🤖 applied to Biology 🧬

bioinformatics biology biotech biotechnology course data-science education large-language-models llms machine-learning notebooks python

Last synced: 28 Feb 2025

https://github.com/dawievlill/datascience-871

Data science module for economists written mostly in Julia and R

data-analysis data-science machine-learning

Last synced: 27 Feb 2025

https://github.com/vivek3141/super-mario-rl

Deep Reinforcement learning and Python learn how to play the original Super Mario Bros

deep-q-learning machine-learning mario reinforcement-learning

Last synced: 01 Apr 2025

https://github.com/aqibsaeed/research-paper-categorization

Research paper classification using machine learning and NLP

machine-learning nlp text-classification

Last synced: 12 Oct 2025

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

A high level abstraction library designed for effortless tabular data based tasks.

classification deep-learning machine-learning neural-network python rust tabular-data

Last synced: 18 Jan 2026

https://github.com/SOM-Research/DescribeML

DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.

data-science dataset-generation datasets describeml langium machine-learning model-driven modeling open-data open-datasets visual-studio-code vscode

Last synced: 25 Oct 2025

https://github.com/ml-libs/mlserve

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

machine-learning mlserve model-deployment model-serving scikit-learn

Last synced: 28 Jan 2026

https://github.com/serkor1/slmetrics

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

armadillo armadillo-library artificial-intelligence cpp cran cran-r data-analysis data-science eigen3 machine-learning performance-metrics r r-package r-stats rcpp rcpparmadillo rcppeigen statistics supervised-learning

Last synced: 18 Feb 2026

https://github.com/llnl/muygpys

A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

machine-learning math-physics python scientific-computing

Last synced: 02 Apr 2025

https://github.com/RuntianZ/doro

Distributional and Outlier Robust Optimization (ICML 2021)

distributional-shift fairness machine-learning

Last synced: 08 May 2025

https://github.com/rainingcomputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 19 Mar 2025

https://github.com/stevenabreu7/handson_reservoir

Repository for paper "Hands-on reservoir computing" (NCE, 2022)

machine-learning physical-computing reservoir reservoir-computing tutorial

Last synced: 14 Apr 2025

https://github.com/pnnl/ddks

A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions

machine-learning physics statistics

Last synced: 25 Aug 2025

https://github.com/khamidieh/predict_tc

Predict the Critical Temperature of a Superconductor

machine-learning solid-state-chemistry solid-state-physics superconductivity

Last synced: 22 Jul 2025

https://github.com/bobld/pdfpigmlnetblockclassifier

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

classifier csharp document-layout document-layout-analysis layout-analysis lightgbm machine-learning ml-net pdf pdf-document pdf-document-processor pdfpig publaynet

Last synced: 14 Apr 2025

https://github.com/RainingComputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 15 Jul 2025

https://github.com/muhamuttaqien/AI-Lab

🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!

artificial-intelligence autonomous-systems computer-vision deep-learning machine-learning natural-language-processing reinforcement-learning robotics

Last synced: 14 Mar 2025

https://github.com/gully/blase

Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX

astronomy interpretable-machine-learning machine-learning spectroscopy

Last synced: 29 Jul 2025

https://github.com/ap6yc/adaptiveresonance.jl

A Julia package for Adaptive Resonance Theory (ART) algorithms.

julia machine-learning

Last synced: 14 Apr 2025

https://github.com/m3dev/kannon

Kannon is a wrapper for the gokart library that allows gokart tasks to be easily executed in a distributed and parallel manner on multiple kubernetes jobs.

gokart kubernetes machine-learning mlops task-pipeline

Last synced: 16 Jan 2026

https://github.com/mrousavy/brabenetz

🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores

algorithm artificial-intelligence biases cpp cpu digit-recognizer linux machine-learning neural-network neurons nuget scalability supervised-neural-network xor

Last synced: 06 Apr 2025

https://github.com/juliaml/penaltyfunctions.jl

Julia package of regularization functions for machine learning

julia machine-learning penalties regularization

Last synced: 27 Oct 2025

https://github.com/IBM/MAX-News-Text-Generator

Generate English-language text similar to the news articles in the One Billion Words data set.

docker-image machine-learning machine-learning-models

Last synced: 13 May 2025

https://github.com/beegass/self-taught-machine-learning

I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.

lecture linear-regression machine-learning statistical-learning support-vector-machine

Last synced: 21 Sep 2025

https://github.com/infoslack/ml-book

Entendendo Machine Learning com Scikit-Learn e TensorFlow na prática

data-science machine-learning matplotlib numpy pandas python scikit-learn tensorflow

Last synced: 14 Jul 2025

https://github.com/theengineeringworld/python-data-science

Python Data Science has all the data sets and jupyter notebook files for the Youtube course at http://youtube.com/theengineeringworld under the name of " Python Data Science Course ".

data data-analysis data-mining data-science data-visualization jupyter-notebook jupyter-notebooks machine-learning python python27

Last synced: 17 Nov 2025

https://github.com/charlescao460/MapleStoryDetectionSampleGenerator

Generate object detection samples from MapleStory in different formats (COCO, TFRecord, darknet...)

annotation-tool coco darknet machine-learning maplestory object-detection tensorflow

Last synced: 20 Apr 2025

https://github.com/akassharjun/shapleyvaluefl

A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.

federated-learning game-theory incentive-mechanism machine-learning shapley-value

Last synced: 23 Apr 2025

https://github.com/aws-solutions/maintaining-personalized-experiences-with-machine-learning

The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations

amazon-personalize artificial-intelligence machine-learning

Last synced: 15 Apr 2025

https://github.com/kjappelbaum/ml_molsim

Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)

hands machine-learning mof tutorial

Last synced: 21 Apr 2025

https://github.com/yujiabao/r2a

"Deriving Machine Attention from Human Rationales" EMNLP 2018

attention-mechanism emnlp2018 interpretable-machine-learning machine-learning

Last synced: 01 May 2026

https://github.com/ibm/max-news-text-generator

Generate English-language text similar to the news articles in the One Billion Words data set.

docker-image machine-learning machine-learning-models

Last synced: 07 May 2025

https://github.com/olafenwamoses/deepstack_actionnet

A custom DeepStack model for detecting 16 human actions.

deep-learning detection machine-learning object-detection

Last synced: 11 Apr 2025

https://github.com/probabl-ai/sklearn-ragger-duck

A proof-of-concept for a RAG to query the scikit-learn documentation

generative-ai machine-learning rag scikit-learn

Last synced: 11 Apr 2025

https://github.com/martinnormark/neural-mesh-simplification

Un-official and WIP Implementation of the Neural Mesh Simplification paper

3d 3d-modelling machine-learning mesh mesh-processing mesh-simplification pytorch pytorch-geometric

Last synced: 06 Apr 2026

https://github.com/lukashedegaard/continual-skeletons

Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"

continual-inference convolutional-neural-networks deep-learning graph-neural-networks machine-learning online-inference skeleton-based-action-recognition

Last synced: 14 Jul 2025

https://github.com/danielvegamyhre/autograd-for-dummies

A minimal autograd engine and neural network library for machine learning students.

machine-learning

Last synced: 25 Mar 2025

https://github.com/arthurpaulino/miraiml

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

data-science hyperparameter-optimization machine-learning python

Last synced: 19 Apr 2025

https://github.com/longmaoteamtf/keras_ernie

Pre-trained ERNIE models could be loaded with Keras for feature extraction and prediction.

ernie keras machine-learning

Last synced: 23 Apr 2025

https://github.com/yinleon/pydata2017

This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries

machine-learning pydata reverse-image-search tensorflow

Last synced: 04 Sep 2025

https://github.com/kongzii/swiftxgboost

Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.

boosting-tree machine-learning swift swift-for-tensorflow xgboost

Last synced: 04 Sep 2025

https://github.com/nouraalgohary/graduation-project-competitions

This is a compilation of competitions that are relevant to graduation projects, along with comprehensive details about each of them.

ai android competitions computer-science graduation-project iot machine-learning mansoura-university sponsorship university

Last synced: 04 Apr 2025

https://github.com/Azure/aml-run

GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.

aml azure azure-machine-learning data-science machine-learning mlops

Last synced: 29 Jul 2025

https://github.com/decalogue/ai

AI ——人工智能工具集，包含机器学习，深度学习，自然语言处理

ai deep-learning dl machine-learning ml natural-language-processing nlp python

Last synced: 06 Sep 2025

https://github.com/cahya-wirawan/opentc

OpenTC is a text classification engine using several algorithms in machine learning

convolutional-neural-networks machine-learning svm-classifier tensorflow text-classification

Last synced: 11 Apr 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 11,174 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 1,717 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