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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/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/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/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/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/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/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/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/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/RuntianZ/doro

Distributional and Outlier Robust Optimization (ICML 2021)

distributional-shift fairness machine-learning

Last synced: 08 May 2025

https://github.com/autonomio/autonomio

Core functionality for the Autonomio augmented intelligence workbench.

artificial-intelligence datascience deep-learning hyperscan keras lstm machine-learning mlp neural-network spacy tensorflow wrangling

Last synced: 10 Jul 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/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/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/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/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/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/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/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/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/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/mewwts/feng

feng - feature engineering for machine-learning champions

feature-engineering machine-learning pandas

Last synced: 14 Jan 2026

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/mati365/neural-cars

🚗 Neural network 2D cars ray collision detection using ML genetic training algorithm

canvas cars game genetic-algorithm machine-learning neural-cars neural-network react

Last synced: 24 Apr 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/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/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/wassname/satellite_leak_detection

Detect water leaks from satellite images using machine learning

drinking-water machine-learning satellite-images

Last synced: 15 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/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/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/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/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/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/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/tlverse/origami

:game_die: :crystal_ball: Comprehensive Cross-Validation Engine

cross-validation machine-learning

Last synced: 19 Feb 2026

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/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/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/jsmlt/jsmlt

:factory: JavaScript Machine Learning Toolkit

classification javascript-library knn logistic-regression machine-learning random-forest svm

Last synced: 13 Nov 2025

https://github.com/younes-charfaoui/ml-projects

Machine Learning Projects 🙍‍♂️, code and data sets for different kind of problems 🔥.

deep-learning kaggle-competition keras machine-learning matplotlib reinforcement-learning sklearn supervised-learning tensorflow unsupervised-learning

Last synced: 09 Jul 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/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

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/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/ab007shetty/crop-management-system

The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.

bootstrap4 crop-prediction crop-recommendation fertilizer-recommendation html-css-javascript machine-learning php rainfall-prediction responsive-web-design yield-prediction

Last synced: 02 Jun 2026

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/ihabbendidi/android-licence-plate-detection-recognition

Offline Android application for detecting license plates in cars and recognizing their content in real time with Tensorflow model

android cmake deep-learning java machine-learning neural-networks object-detection ocr ocr-recognition python tensorflow

Last synced: 13 Oct 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/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/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/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/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/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/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/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/gmontamat/poor-mans-transformers

Implement Transformers (and Deep Learning) from scratch in NumPy

deep-learning from-scratch machine-learning ml-framework neural-network nlp transformers

Last synced: 27 Mar 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/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/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/sidgupta234/codingninjas_datascience_machinelearning

The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.

data-science jupyter-notebook machine-learning python-3

Last synced: 25 Oct 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/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/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

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