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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/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/havakv/torchtuples

Training neural networks in PyTorch

deep-learning machine-learning neural-network python pytorch

Last synced: 10 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/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/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/societe-generale/aikit

Automated machine learning package

automl data-science machine-learning python

Last synced: 15 Jul 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/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/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/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/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/wellflat/opencv-samples

OpenCV sample codes (C++/Python)

computer-vision cpp machine-learning opencv python

Last synced: 21 Mar 2025

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/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/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/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/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/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/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/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/santiagxf/prometheus

Prometheus is a machine learning powered solution for early detection of fires in national parks

alexnet cntk deep-learning detection drones fire machine-learning transfer-learning

Last synced: 24 Apr 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/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/ap6yc/adaptiveresonance.jl

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

julia machine-learning

Last synced: 14 Apr 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/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/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/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/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/waikato/weka

Pointer to the official Weka repository.

java machine-learning weka

Last synced: 02 Aug 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/ledell/sldm4-h2o

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

autoencoder deep-learning h2o machine-learning r statistical-learning tutorial

Last synced: 29 Oct 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/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/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/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/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/salu133445/binarygan

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

binary-neuron generative-adversarial-network gradient-estimator machine-learning

Last synced: 25 Mar 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/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/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/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/sovit-123/image-deblurring-using-deep-learning

PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.

computer-vision computer-vision-neural-networks convolutional-neural-networks deep-learning deep-neural-networks deeplearning-image-deblur image-deblur image-deblurring machine-learning neural-networks pytorch

Last synced: 11 Apr 2025

https://github.com/djangopeng/aml-101

微软机器学习（Azure Machine Learning）快速入门与实战

aml azureml deep-learning machine-learning

Last synced: 12 Apr 2025

https://github.com/klaus78/data-science-flashcards

A large collection of challenges on Data Science and Machine Learning.

data-science hacktoberfest jekyll-website machine-learning python

Last synced: 20 Aug 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/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/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/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/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/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

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

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-aws 687 awesome-artificial-intelligence 90 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 405 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 11,027 Uncategorized 8,019 Books 4,057 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,388 **Literature and Codes** 2,261 Vision 2,030 Repos 1,866 Paper List 1,715 Table of Contents 1,673 fl in top ml conference and journal 1,564 Blog Posts 1,539 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,155 Computational Information Geometry 1,071 Attack 1,063 Research Papers 1,025 Videos 944