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/mhw32/rubric-sampling-public

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

deep-learning education machine-learning programming zero-shot-learning

Last synced: 14 Apr 2025

https://github.com/polywock/text2gender

Predict the author's gender from their text.

gender-classification machine-learning neural-network text-classification

Last synced: 12 Mar 2026

https://github.com/ccao-data/model-res-avm

Automated valuation model for all class 200 residential properties in Cook County (except vacant land and condos)

assessment data-science machine-learning model property-taxes r res tidymodels

Last synced: 10 Mar 2026

https://github.com/edaaydinea/365-days-of-code-2022

This coding challenge is created by Eda AYDIN. This coding challenge aims to progress from Python programming to Computer Vision, Natural Language Processing in Artificial Intelligence and Neuroscience.

artificial-intelligence coding-challenges computer-science computer-vision data-science deep-learning machine-learning natural-language-processing neuroscience python

Last synced: 11 Apr 2025

https://github.com/qbarthelemy/pypermut

Python package for permutation tests, for statistics and machine learning.

machine-learning multiple-comparisons nonparametric-tests permutation-test post-hoc python scientific-computing statistics

Last synced: 19 Apr 2025

https://github.com/nasa/concept-tagging-api

Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`.

api concept-tag flask-application machine-learning nasa nasa-api nlp nlp-machine-learning usg-artificial-intelligence

Last synced: 26 Jan 2026

https://github.com/bminixhofer/tokenkit

A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.

distillation jax llms machine-learning tokenization tokenizer-transfer transfer-learning

Last synced: 15 May 2025

https://github.com/fabio-sim/docshadow-onnx-tensorrt

ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀

coreml deep-learning docshadow document-shadow-removal machine-learning onnx onnxruntime pytorch shadow-removal tensorrt

Last synced: 07 May 2025

https://github.com/smarie/python-m5p

An implementation of M5 and model trees in python, compliant with scikit-learn.

m5 machine-learning model prime regression scikit-learn tree

Last synced: 26 Oct 2025

https://github.com/52fhy/deep-learning-platforms

deep-learning platforms,framework,data(深度学习平台、框架、资料)

brainstorm caffe chainer deep-learning di-x machine-learning neural-network paddlepaddle tensorflow torch

Last synced: 01 May 2025

https://github.com/intel/transfer-learning

Libraries and tools to support Transfer Learning

ai deep-learning machine-learning pytorch tensorflow

Last synced: 11 Mar 2026

https://github.com/tomzx/machine-learning-concept-map

The Machine Learning Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about machine learning over the years.

concept-map machine-learning

Last synced: 11 Jan 2026

https://github.com/allisterb/classifybot

Automate building ML classification pipelines in .NET

data-engineering dotnet machine-learning

Last synced: 11 Apr 2025

https://github.com/mainakrepositor/liver-disease-prediction

Detect and predict the onset or presence of hepatic disease in the patient using machine learning

decision-tree-classifier dep machine-learning streamlit

Last synced: 02 May 2025

https://github.com/general-developer/whisper_library

Whisper Is Library for transcribe sound wav AKA Speech To Text Or Extract Text From Audio

ai artificial-intelligence dart flutter ggml machine-learning ml openai speech-to-text transcribe translate whisper

Last synced: 05 Apr 2025

https://github.com/lab-cosmo/atomistic-cookbook

A collection of simulation recipes for the atomic-scale modeling of materials and molecules

atomistic-simulations machine-learning modeling molecular-dynamics simulation

Last synced: 03 May 2025

https://github.com/rfeinman/learning-to-learn

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

cognitive-science inductive-biases learning-to-learn machine-learning neural-networks

Last synced: 20 Mar 2025

https://github.com/gaelfoppolo/coreml-flowers

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

coreml coreml-framework coremltools flowers ios machine-learning swift

Last synced: 11 Apr 2025

https://github.com/lanl/pydnmfk

Python Distributed Non Negative Matrix Factorization with custom clustering

cupy distributed-computing hpc latent-features machine-learning mpi4py nccl nonnegative-matrix-factorization outofmemory python tensorfactorization

Last synced: 12 Apr 2025

https://github.com/skshadan/opencv-dji-drones

Use OpenCV with any model of DJI Drones, you can gain access to the real-time camera feed of your drone. This allows for live streaming and analysis of the drone's field of view, providing valuable insights for various applications including aerial photography, surveying, and drone-based monitoring systems.

aerial-photography aerial-surveying aws dji dji-drone dji-drones drone-api drones environmental-monitoring machine-learning object-detection opencv real-time-video-processing rtmp-server video-streaming

Last synced: 08 Sep 2025

https://github.com/lucastheis/trlda

Implementations of various online inference algorithms for LDA, with Python interface.

lda machine-learning python topic-modeling variational-inference

Last synced: 16 Mar 2026

https://github.com/ahammadmejbah/ahammadmejbah

Data Science || Machine Learning || Deep Learning || Computer Vision || NLP Enthusiast Talks about #datascience, #deeplearning, #dataanalytics, #machinelearning, and #machinelearningalgorithms

artificial-intelligence computer-vision data-science deep-learning machine-learning nlp python

Last synced: 27 Apr 2025

https://github.com/smith42/xdf-gan

A GAN for the generation of mock astronomical surveys

astronomy deep-learning gan machine-learning

Last synced: 27 Oct 2025

https://github.com/talitalobo/controle-social

Conteúdo sobre machine learning aplicado ao controle social. Artigos sobre: ML, estatística, ética, dentre outros.

data-science deep-learning machine-learning social-control social-good social-impact social-justice

Last synced: 08 Jan 2026

https://github.com/niyiyu/pnw-ml

A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

dataset machine-learning seismology

Last synced: 25 Oct 2025

https://github.com/hand10ryo/pytorchcml

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 12 Apr 2025

https://github.com/simonblanke/optimization-tutorial

Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

gradient-free-optimization hyperactive hyperparameter-optimization machine-learning optimization tutorial visualization

Last synced: 05 May 2025

https://github.com/lightning-ai/lightning-habana

Lightning support for Intel Habana accelerators.

deep-learning machine-learning python pytorch

Last synced: 11 Apr 2025

https://github.com/virtualscenery/greenscreenstream

Generate MediaStreams for Canvas & Video elements based on MediaStream and a background using pure shaders and / or machine-learning. Just using JavaScript/Typescript. Renders in browser

canvas greenscreen machine-learning mediastream mediastream-api shaders tensorflow usermedia webgl2 webrtc

Last synced: 07 Jul 2025

https://github.com/trainindata/forecasting-with-machine-learning

Code repository for the course "Forecasting with Machine Learning Models"

forecasting machine-learning time-series

Last synced: 17 Jan 2026

https://github.com/takashiishida/irreducible

[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

machine-learning

Last synced: 11 Apr 2025

https://github.com/ilias-ant/adversarial-validation

A tiny framework to perform adversarial validation of your training and test data.

adversarial-validation data-drift machine-learning

Last synced: 10 Apr 2025

https://github.com/theeluwin/kata

Let's study.

machine-learning

Last synced: 17 Jan 2026

https://github.com/amikos-tech/chromadb-data-pipes

ChromaDB Data Pipes 🖇️ - The easiest way to get data into and out of ChromaDB

ai chromadb machine-learning ml mlops pipeline

Last synced: 01 Apr 2026

https://github.com/alessandrocorradini/university-of-michigan-applied-data-science-with-python-specialization

Repository for the Applied Data Science with Python Specialization from University of Michigan on Coursera

coursera coursera-specialization data-science machine-learning mooc moocs

Last synced: 07 Sep 2025

https://github.com/augus1999/bayesian-flow-network-for-chemistry

ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.

bayesian-flow-networks cheminformatics chemistry generative-model machine-learning molecular-modeling qsar qspr transformer

Last synced: 10 Apr 2025

https://github.com/bminixhofer/gerpt2

German small and large versions of GPT2.

common-crawl german gpt2 language-model machine-learning nlp

Last synced: 21 Mar 2025

https://github.com/li-plus/rouge-metric

A Python wrapper of the official ROUGE-1.5.5.pl script and a re-implementation of full ROUGE metrics.

machine-learning nlp pypi python rouge rouge-metric summarization

Last synced: 06 Apr 2025

https://github.com/0101011/bootstrap-ml

A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.

ai deep-learning deep-neural-networks deeplearning documentation jupyter-notebook jupyter-notebooks machine-learning machinelearning ml tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 12 May 2025

https://github.com/jernejk/mlsample.simpletransactiontagging

This is an simple example of tagging bank transactions with ML.NET

automl blazor-application classification machine-learning ml-net

Last synced: 26 Jun 2025

https://github.com/danielfrg/demucs-app

Use DEMUCS to split songs into multiple sources

demucs docker js machine-learning music react

Last synced: 17 Mar 2025

https://github.com/18D070001/Electrical-Devices-Identification-Model

Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

colab-notebook electrical feature-engineering feature-extraction machine-learning nilm nilm-algorithms python-3 signal-processing

Last synced: 06 Apr 2025

https://github.com/rubydamodar/the-ultimate-pandas-bootcamp

Welcome to the Pandas for Data Science repository! This course is designed to take you from beginner to proficient in using Pandas, the powerful data manipulation library in Python. Whether you're just starting your data science journey or looking to sharpen your skills, this repository contains all the resources

beginner-friendly csv-data data-analysis data-cleaning data-manipulation data-science data-visualization dataframe exploratory-data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python python-pandas series statistical-analysis time-series titanic-dataset

Last synced: 19 Apr 2025

https://github.com/BojarLab/CandyCrunch

Predicting glycan structure from LC-MS/MS data

bioinformatics glycans machine-learning mass-spectrometry python

Last synced: 28 Sep 2025

https://github.com/theroyakash/adam

Implementation of Adam Optimization algorithm using Numpy

adam-optimizer algorithms deep-learning machine-learning numpy numpy-neural-network python3

Last synced: 12 Apr 2025

https://github.com/kyegomez/mlxtransformer

Simple Implementation of a Transformer in the new framework MLX by Apple

artificial-intelligence gpt4 machine-learning multi-modal multi-modality

Last synced: 04 Oct 2025

https://github.com/edrubin/ec524w22

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taught by Ed Rubin

course data-science econometrics machine-learning prediction university

Last synced: 04 Jan 2026

https://github.com/sircamp/kaggle-breast-cancer-prediction

Different approaches as (ANN,DecisionTree,Bayes and KNeighbors) to solve and predict with the best accuracy malignous cancers

kaggle-competition machine-learning machine-learning-algorithms sklearn

Last synced: 15 May 2025

https://github.com/alexcg1/easy_text_generator

Generate text from machine-learning models right in your browser

machine-learning nlp python streamlit

Last synced: 14 Sep 2025

https://github.com/costrouc/mse-machinelearning-notebooks

Machine Learning Introduction for a Material Scientist

binder-ready machine-learning materials-science python

Last synced: 23 Mar 2025

https://github.com/a-poor/color-palettes

Using clustering algorithms to create color palettes from movie stills

clustering colors computer-vision machine-learning python

Last synced: 03 Aug 2025

https://github.com/knorth55/chainer-sort

Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.

chainer chainercv computer-vision deep-learning machine-learning object-tracking python

Last synced: 15 Apr 2025

https://github.com/lucko515/search-book-by-cover-server

This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.

content-based-image-retrieval deep-learning end-to-end-machine-learning flask machine-learning tensorflow

Last synced: 14 Apr 2025

https://github.com/pizaariaaa/garbage-classification

Python notebook about garbage detection based on convolutional neural network

convolutional-neural-networks deep-learning garbage-classification jupyter-notebook machine-learning python

Last synced: 15 Apr 2025

https://github.com/eliben/radgrad

Tracing-based reverse mode automatic differentiation (like autograd!)

autograd automatic-differentiation backpropagation gradient machine-learning python

Last synced: 14 Jul 2025

https://github.com/muxamilian/poor-mans-vr

Watch videos in VR using only your front camera + tensorflow.js

computer-vision machine-learning virtual-reality

Last synced: 14 Apr 2025

https://github.com/ravin-d-27/pydeepflow

This is my own Deep Learning Package, optimized for performing Deep Learning Tasks and easy to learn and integrate into projects.

deep-learning hacktoberfest hacktoberfest-accepted hacktoberfest2024 machine-learning neural-networks python

Last synced: 08 Oct 2025

https://github.com/cumulocity-iot/r-pmml

Generate PMML for various machine learning and statistical models.

machine-learning pmml r zementis

Last synced: 12 Dec 2025

https://github.com/kotlinnlp/neuralparser

NeuralParser is a very simple to use dependency parser, based on the Latent Syntactic Structure encoding.

dependency-parser kotlinnlp machine-learning natural-language-processing

Last synced: 14 Jan 2026

https://github.com/simpleclub/startup_teens_machine_learning

The repository containing all code written in the Startup Teens machine learning course.

machine-learning python simpleclub startup-teens tutorial

Last synced: 22 Feb 2026

https://github.com/techtonique/nnetsauce

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

deep-learning machine-learning neural-networks quasi-randomized statistical-learning

Last synced: 21 Oct 2025

https://github.com/elliotwutingfeng/spamdexingsites

URL feed for blocking spamdexing websites. Let's banish them to the rubbish bin where they belong!

adblock blocklist content-farm dnsbl machine-learning malvertising malware osint pfblockerng pihole spam ublacklist

Last synced: 29 Apr 2025

https://github.com/blakejakopovic/nostr-spam-detection

An experiment in building a machine learning model to label Nostr spam content for filtering and relay rejection.

machine-learning nostr proof-of-concept spam-detection spam-filtering

Last synced: 18 Jan 2026

https://github.com/awslabs/bedrock-vscode-playground

Explore and experiment with large language models (LLMs) available in Amazon Bedrock

education machine-learning programming-language

Last synced: 21 Feb 2026

https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

Last synced: 08 Oct 2025

https://github.com/aliosm/ai-soco

Official FIRE 2020 Authorship Identification of SOurce COde (AI-SOCO) task repository containing dataset, evaluation tools and baselines

ai-soco authorship-identification codeforces fire2020 machine-learning pan2020 source-code

Last synced: 19 Jan 2026

https://github.com/ahammadmejbah/pytorch-developers-roadmap

PyTorch is an open-source machine learning framework that provides a flexible platform for building, training, and deploying deep learning models. It is widely used for research and development in artificial intelligence, offering dynamic computation, GPU acceleration, and a rich ecosystem of libraries and tools.

ai data-science deep-learning developer machine-learning python python3 pytroch

Last synced: 27 Apr 2025

https://github.com/dimzachar/datatalksclub-projects

Streamlit-Powered DataTalksClub Project Analyzer: Interactive Insights at Your Fingertips

data-science gpt machine-learning openai python streamlit vizualisation

Last synced: 18 Jul 2025

https://github.com/OGFris/GoStats

GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.

data-science go golang gostats machine-learning math mathematics mit-license statistical-measures statistics stats

Last synced: 14 Mar 2025

https://github.com/PySloth/pysloth

A Python Package for Probabilistic Prediction

data-analysis data-science machine-learning python statistics

Last synced: 11 May 2025

https://github.com/gyrdym/ml_preprocessing

Implementation of popular data preprocessing algorithms for Machine learning

data-preprocessing data-science machine-learning machine-learning-algorithms onehot-encoder ordinal-encoder

Last synced: 21 Mar 2025