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.

GitHub: https://github.com/topics/machine-learning
Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
Last updated: 2026-07-03 00:18:33 UTC
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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/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/allisterb/ClassifyBot

Automate building ML classification pipelines in .NET

data-engineering dotnet machine-learning

Last synced: 29 Sep 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/jleinonen/cloudsat-gan

Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network

atmospheric-science climate-science deep-learning generative-adversarial-network machine-learning

Last synced: 25 Mar 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/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/mainakrepositor/renal-disease-detection

Detects and Predicts possible malfunctioning of human kidney based on the test reports and percentages of the associated parameters using decision tree classifier

decision-tree machine-learning python3 renal-disease streamlit

Last synced: 25 Jun 2025

https://github.com/truongnv-hut/ai_u_p_cl_yolo8_objectdetection_cgyettix

Training YOLO8 model with custom data

aicandy artificial-intelligence computer-vision deep-learning machine-learning object-detection yolov8

Last synced: 15 Apr 2025

https://github.com/rcarmo/azure-toolbox

A Docker container with Azure Resource Manager administration tools and a machine/deep learning stack

azure cntk deep-learning machine-learning tensorflow toolbox vnc-server

Last synced: 23 Mar 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/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/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/casperkristiansson/elements-of-ai-building-ai

All exercises for the course Elements of AI - Building AI

bayes-classifier bayes-rule building-ai deep-learning elements-of-ai hill-climbing linear-regression linear-regression-models logistic-regression machine-learning naive-bayes naive-bayes-algorithm naive-bayes-classifier nearest-neighbor-search neural-networks overfitting probability-fundamentals

Last synced: 01 Sep 2025

https://github.com/wangkua1/vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

generative-models machine-learning model-inversion privacy-attacks

Last synced: 27 Jul 2025

https://github.com/alexisbalayre/uk-resume-llm

Resume Insight: Fine-Tuning LLM for Resume Analysis

fine-tuning llm machine-learning nlp

Last synced: 19 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/bhky/targetran

Python library for data augmentation in object detection or image classification model training

data-augmentation image-classification machine-learning object-detection pytorch tensorflow2

Last synced: 17 Mar 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/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/fluxml/fluxml.github.io

Flux Website

deep-learning flux hacktoberfest julia machine-learning

Last synced: 27 Jun 2025

https://github.com/gauravpandeylab/eipy

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

classification ensemble interpretation machine-learning multimodal nested-cross-validation predictive-modeling scikit-learn

Last synced: 24 Oct 2025

https://github.com/inab/biolitmap

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

data-mining data-science data-visualization machine-learning maps natural-language-processing research research-paper science social-analytics-team

Last synced: 22 Apr 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/bdwilliamson/vimpy

Perform inference on algorithm-agnostic variable importance in Python

machine-learning nonparametric-statistics statistical-inference variable-importance

Last synced: 14 Jan 2026

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/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/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/unpackai/unpackai

The Unpack.AI library

artificial-neural-networks deep-learning educational machine-learning python

Last synced: 18 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/alro10/roadmap-data-scientist

The basic roadmap to become a data scientist

analytics cognitive-courses data-science data-scientist docker ibm ibm-cloud kubernetes machine-learning python python3 roadmap roadmap-ds sql

Last synced: 07 Mar 2026

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/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/sinanuozdemir/oreilly-transformers-nlp-mlops

Session on MLOps

data-science deep-learning machine-learning mlops natural-language-processing nlp python transformers

Last synced: 24 Feb 2025

https://github.com/mcarlomagno/fluttermobilenet

🦾🤖 Mobilenet model implementation for image classification using the tflite library, a Flutter plugin for accessing TensorFlow Lite API.

artifficial-intelligence dart flutter image-classification machine-learning mobilenets tensroflow

Last synced: 28 Jun 2025

https://github.com/Drakkar-Software/OctoBot-Script

Quant framework by OctoBot

ai backtesting cryptocurrency deep-learning exchange machine-learning ml octobot python quant reinforcement-learning technical-analysis

Last synced: 08 May 2025

https://github.com/kaustubholpadkar/linear_regression_with_tensorflow.js

Simulation of Linear Regression algorithm using P5.JS and Tensorflow.js

deep-learning deeplearning javascript linear-regression machine-learning p5js simulation tensorflow-js

Last synced: 06 May 2025

https://github.com/anjohan/neuralnetwork

Simple, parallel, object-oriented Fortran neural network

coarray-fortran fortran machine-learning neural-network

Last synced: 07 Feb 2026

https://github.com/kevalmorabia97/naive-bayes-text-classifier-in-java

Naive Bayes Classification used to classify movie reviews as positive or negative

java machine-learning naive-bayes-classifier text-classification

Last synced: 10 Jul 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/silenceoverflow/cs-learning-resources

Learning Resources for Those New to Computer Science

algorithm computer-science machine-learning mooc programming

Last synced: 12 Apr 2025

https://github.com/tushar2704/sql-portfolio

Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.

data data-analytics data-science dataanalysis datamanipulation machine-learning mysql postgresql sql streamlit-tushar2704 tushar2704

Last synced: 07 May 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/lucasfranklinsilva/analise-de-sentimentos

Análise de Tweets com NLTK e Bloob.

analysis bloob-microservice machine-learning nltk python tweets

Last synced: 19 Jul 2025

https://github.com/giscience-fsu/sperrorest

Spatial error estimation and variable importance

cross-validation machine-learning r-package rstats spatial-statistics spatio-temporal-modeling statistical-learning

Last synced: 22 Oct 2025

https://github.com/benedekrozemberczki/FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model

Last synced: 17 Apr 2025

https://github.com/nxexox/pymlup

MLup is framework for easy and fast run ML in production

api asyncio fastapi framework json jupyter-notebook lightgbm machine-learning mlops mlup onnx pydantic pymlup pytorch rest tensorflow uvicorn web webapi

Last synced: 13 Apr 2025

https://github.com/adityashrm21/deep-learning-algorithms-implementation

Implementations of (Deep Learning + Machine Learning) Algorithms

algorithm decision-tree decision-trees deep-learning deep-learning-algorithms implementation implementation-of-algorithms jupyter-notebook keras linear-regression logistic-regression machine-learning multilayer-perceptron neural-networks pytorch restricted-boltzmann-machine tensorflow

Last synced: 29 Apr 2025

https://github.com/aai-institute/nnbench

A small framework for benchmarking machine learning models.

benchmarking machine-learning mlops neural-networks python

Last synced: 14 Jan 2026

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/google-github-actions/run-vertexai-notebook

A GitHub Action for running a Google Cloud Vertex AI notebook.

actions artificial-intelligence gcp github-actions google-cloud google-cloud-platform machine-learning ml-notebooks vertex-ai

Last synced: 27 Apr 2025

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/abhinav-26/machine-learning-minor-projects

Minor Projects in Machine Learning for Beginners and Intermediate

computer-vision deep-learning hacktoberfest hacktoberfest2021 machine-learning ml-project nlp-machine-learning recommendation-system

Last synced: 07 Oct 2025

https://github.com/leonid20000/Odin-Tabs

The Odin Tabs extension is a browser extension that allows you to navigate through your browser tabs using speech recognition and the Large Language Model (LLM) of your choice.

accessibility artificial-intelligence assistive-technology chatgpt-api chrome-extension interaction-design large-language-models machine-learning natural-language-processing openai-api portfolio productivity-tools rag speech-to-text tab-management tab-navigation ui user-interface web-accessibility web-automation

Last synced: 11 Mar 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/oroszgy/hungarian-text-mining-workshop

Materials for the Text Mining workshop held in the HuNLP meetup, June 2017

classification hungarian information-extraction keyword-extraction machine-learning meetup natural-language-processing nlp python scikit-learn sentiment-analysis spacy spacy-models text-mining text-mining-workshop textacy tutorial workshop

Last synced: 23 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/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/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/rickiepark/aiml4coders

<개발자를 위한 머신러닝&딥러닝> 도서의 코드 저장소

cnn deep-learning keras keras-tuner machine-learning model-deployment python rnn tensorflow tensorflow-js tensorflow-lite tensorflow-serving text-classification text-generation tf-data time-series-analysis transfer-learning word-embeddings

Last synced: 18 Aug 2025

https://github.com/leonid20000/odin-tabs

The Odin Tabs extension is a browser extension that allows you to navigate through your browser tabs using speech recognition and the Large Language Model (LLM) of your choice.

Last synced: 04 Oct 2025

https://github.com/thinklab-sjtu/hardsatgen

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

combinatorial-optimization generative-model graph-neural-networks machine-learning satisfiability

Last synced: 20 Aug 2025

https://github.com/cqfn/veniq

Veniq uses Machine Learning to analyze source code, find possible refactorings, and suggest those that seem optimal

machine-learning refactorings static-analysis

Last synced: 26 Jul 2025

https://github.com/ihabbendidi/voice-authentification-api

A RESTFUL API implementation of an authentification system using voice fingerprint

api authentication encoding flask gmm machine-learning mfcc mfcc-analysis mfcc-extractor mfcc-features security server voice voice-recognition

Last synced: 16 Aug 2025

https://github.com/statmixedml/py-boostlss

An extension of Py-Boost to probabilistic modelling

distributional-regression gamlss gradient-boosting-machine machine-learning multi-target-regression probabilistic-modeling quantile-estimation uncertainty-estimation

Last synced: 09 Mar 2026

https://github.com/hamzaezzra/mlpdr

Moroccan license plate detection & recognition. Built with YOLOv3 and PyQt.

anpr dataset machine-learning moroccan-license-plates plate-detection plate-recognition python yolov3

Last synced: 04 Sep 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/marian-nmt/sotastream

A library for data streaming and augmentation

data-augmentation data-streaming machine-learning pretraining

Last synced: 29 Jul 2025

https://github.com/stefen-taime/car-price-predictor

Predicting Car Prices with FastAPI, Streamlit, MLflow, Kafka, and Debezium: A Practical Demonstration

data data-science dataanalysis-projects engineering machine-learning mlops predictive-modeling

Last synced: 04 Aug 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/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/yxonic/fret

Framework for Reproducible ExperimenTs

cli configuration-management deep-learning framework machine-learning python3 reproducible-experiments

Last synced: 19 Apr 2025

https://github.com/tensorush/awesome-physics-programming

😎 ☄️ Collection of the most awesome learning resources on physics programming in the form of videos, tutorials and frameworks.

awesome awesome-list computational-fluid-dynamics computational-physics computer-graphics deep-learning deep-learning-physics differentiable-programming fluid-dynamics fluid-simulation frameworks learning learning-resources machine-learning physics physics-deep-learning physics-simulation programming programming-tools quantum-computing

Last synced: 08 Apr 2025

https://github.com/fkcptlst/labtasker

Experiment task scheduling made easy.

machine-learning mongodb-database python3 task-manager task-queue task-scheduler workflow-automation

Last synced: 24 Mar 2025

https://github.com/mainakrepositor/brain-stroke-detection

Detects Brain Stroke using machine learning models with the highest optimal probability

data-science deployment-automation gui-application machine-learning streamlit-webapp

Last synced: 02 May 2025

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/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/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/isadrtdinov/bootcamp-idao-2022

IDAO 2022: Machine Learning Bootcamp

boosting categorical-data competition data-analysis deep-learning education graph-machine-learning machine-learning neural-networks

Last synced: 15 May 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/rishit-dagli/glu

An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.

activation-functions artificial-intelligence deep-learning glu keras machine-learning neural-network python tensorflow transformers

Last synced: 05 May 2025

https://github.com/hoya012/fast-style-transfer-tutorial-pytorch

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

deep-learning deep-style-transfer fast-style-transfer machine-learning pytorch pytorch-tutorial style-transfer

Last synced: 02 Jul 2025

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/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/mikeroyal/differential-privacy-guide

Differential Privacy Guide

awesome awesome-resources decentralization decentralized decentralized-applications deep-learning differential-privacy machine-learning privacy privacy-enhancing-technologies privacy-preserving privacy-preserving-machine-learning privacy-protection

Last synced: 14 Oct 2025

https://github.com/otonomee/streamstem

Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.

audio-classification deep-learning demucs fastapi machine-learning source-separation spotify-stemmer youtube-stemmer

Last synced: 26 Oct 2025

https://github.com/dgac/acropole

This repository contains the Acropole model for aircraft fuel flow prediction and Python packages for aircraft trajectory processing and fuel flow enhancement.

air-traffic-management aircraft-performance artificial-intelligence environment machine-learning

Last synced: 16 Mar 2026

https://github.com/nesl/auritus

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

activity-recognition bayesian-optimization deep-learning deep-neural-networks earable end-to-end filters framework headpose headpose-estimation human-activity-recognition hyperparameter-optimization inertial-sensors machine-learning neural-architecture-search neural-network tensorflow-lite-micro tinyml ubiquitous-computing wearable-computing

Last synced: 23 Jan 2026

https://github.com/primaprashant/ai-customer-support

📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.

ai applied-data-science applied-machine-learning applied-ml artificial-intelligence customer-service customer-support data-science deep-learning machine-learning natural-language-processing nlp paper production tech-blog

Last synced: 10 Feb 2026

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/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/rodneyosodo/variational-quantum-classifier-on-heartattack

Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models and different feature maps

machine-learning qiskit quantum-computing quantum-machine-learning

Last synced: 19 Mar 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/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/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/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/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/albumentations-team/albucore

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

albumentations artificial-intelligence automation computer-vision data-augmentation deep-learning efficiency high-performance-computing image-augmentation image-processing machine-learning neural-networks opencv performance-optimization python