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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/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/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/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/RuntianZ/doro

Distributional and Outlier Robust Optimization (ICML 2021)

distributional-shift fairness machine-learning

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: 07 May 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/pmichel31415/p-dro

Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

dro machine-learning natural-language-processing

Last synced: 11 Mar 2026

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/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/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/wellflat/opencv-samples

OpenCV sample codes (C++/Python)

computer-vision cpp machine-learning opencv python

Last synced: 21 Mar 2025

https://github.com/Scitator/animus

Minimalistic framework to run machine learning experiments.

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

Last synced: 08 May 2025

https://github.com/davidnyarko123/edge-tpu-silva

Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.

coral-tpu edge-computing fps machine-learning model-inference object-detection pycoral raspberry-pi raspberry-pi-4

Last synced: 28 Oct 2025

https://github.com/cpury/lstm-math

Neural network that solves math equations on the character level

deep-learning keras lstm machine-learning python seq2seq tensorflow

Last synced: 30 Apr 2025

https://github.com/liyucheng09/metaphorframe

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. Presented at EACL 2023.

deep-learning machine-learning metaphor-detection

Last synced: 26 Mar 2025

https://github.com/lejon/PartiallyCollapsedLDA

Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA

lda machine-learning machine-learning-algorithms machinelearning

Last synced: 03 May 2025

https://github.com/havakv/torchtuples

Training neural networks in PyTorch

deep-learning machine-learning neural-network python pytorch

Last synced: 10 Apr 2025

https://github.com/modanesh/leader

Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents

autonomous-vehicles machine-learning reinforcement-learning robotics

Last synced: 10 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/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

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

Last synced: 13 May 2025

https://github.com/mattdangerw/keras-text-generation

RNN text generation using Keras for word and character level models.

deep-learning keras machine-learning python recurrent-neural-networks text-generation

Last synced: 30 Apr 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/serhaturtis/tool-fastbatchimagecrop

A simple UI tool to batch crop images to prepare datasets from images and videos.

cropping-images dataset-generation extract-data gui image-classification machine-learning python stable-diffusion ui

Last synced: 12 May 2025

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/ubclaunchpad/minutes

:telescope: Speaker diarization via transfer learning

library machine-learning python speaker-diarization speech transfer-learning ubc

Last synced: 15 May 2025

https://github.com/oracle/sandwood

Sandwood - A JVM based Java like Probabilistic Programming Language

compiler java machine-learning ml probabilistic-models probabilistic-programming runtime

Last synced: 17 Aug 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/claczny/vizbin

Repository of our application for human-augmented binning

binning bioinformatics java machine-learning metagenomics visualisation

Last synced: 20 Aug 2025

https://github.com/luiscib3r/solar-rad-forecasting

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

convolutional-neural-networks data-science deep-learning forecasting machine-learning rnn rnn-tensorflow

Last synced: 06 Mar 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/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/vocalpy/hybrid-vocal-classifier

a Python machine learning library for animal vocalizations and bioacoustics

birdsong keras machine-learning python scikit-learn tensorflow

Last synced: 19 Jan 2026

https://github.com/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 Jan 2026

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/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/comidan/computer-science-engineering

Collection of all courses, and their materials, attended at Politecnico di Milano during both Bachelor level degree and Master level degree in Engineering, Computer Science Engineering

artificial-intelligence automation bioinformatics compilers computer-architecture computer-science-engineering cybersecurity databases electronics engineering logic-circuit machine-learning mathematics networks operating-system physics probability-statistics robotics telecomunications

Last synced: 13 Oct 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: 20 Oct 2025

https://github.com/franciellevargas/HateBR

HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.

brazilian-portuguese dataset hatespeech-detection machine-learning natural-language-processing text-classification

Last synced: 30 Apr 2025

https://github.com/juliaai/imbalance.jl

A Julia toolbox with resampling methods to correct for class imbalance.

class-imbalance classification machine-learning

Last synced: 10 Apr 2025

https://github.com/equinor/gordo

An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems

distributed-computing end-to-end machine-learning out-of-the-box scalable

Last synced: 01 May 2025

https://github.com/ailia-ai/ailia-sdk

cross-platform high speed inference SDK

deep-learning machine-learning neural-network sdk

Last synced: 20 Apr 2026

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/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/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/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/computationalcore/fall-detection

Computer vision application that detects individual falls

deep-learning deeplearning detector inference machine-learning openvino python3

Last synced: 24 Apr 2025

https://github.com/zahidkhawaja/stable-diffusion-nextjs

Next.js app for serverless deployments of Stable Diffusion on Banana.dev

generative-art javascript machine-learning nextjs react stable-diffusion

Last synced: 26 Apr 2025

https://github.com/karolzak/cntk-python-web-service-on-azure

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

ai api-rest azure-web azure-web-app-service azure-webapp cntk cntk-model cognitive-toolkit deep-learning fasterrcnn flask image-classification kudu machine-learning ml object-detection python restful-api web-service

Last synced: 01 May 2025

https://github.com/gatenlp/gateplugin-learningframework

A plugin for the GATE language technology framework for training and using machine learning models. Currently supports Mallet (MaxEnt, NaiveBayes, CRF and others), LibSVM, Scikit-Learn, Weka, and DNNs through Pytorch and Keras.

classification crf machine-learning nlp sequence-tagging

Last synced: 06 May 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: 07 May 2025

https://github.com/RAMshades/AcousticsML

Tutorial on using machine learning for acoustics. This tutorial covers a wide range of machine learning approaches for acoustic applications.

acoustics machine-learning

Last synced: 01 Sep 2025

https://github.com/kxsystems/automl

Automated Machine Learning Framework for kdb+

automated-machine-learning kdb machine-learning q

Last synced: 25 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/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/joerihermans/master-thesis

My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.

apache-spark deep-learning distributed-computing machine-learning master-thesis optimization-algorithms

Last synced: 21 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/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/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/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/youngjeong46/hands-on-machine-learning

Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.

machine-learning scikit-learn tensorflow

Last synced: 15 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-jax 218 awesome-ml4co 615
Machine learning Categories
Papers 11,053 Uncategorized 8,040 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 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,032 Videos 1,019