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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/yashksaini-coder/multi-class-prediction-of-obesity-risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

lgbm lgbmregressor machine-learning machine-learning-algorithms pipeline prediction prediction-model supervised-learning supervised-machine-learning xgb-regressor xgboost

Last synced: 11 Apr 2025

https://github.com/mad-lab-fau/tpcp

Pipeline and Dataset helpers for complex algorithm evaluation.

algorithms biosignals data-management data-science machine-learning python

Last synced: 04 Feb 2026

https://github.com/si-cim/prototorch

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

interpretable-ai lvq machine-learning python pytorch

Last synced: 11 Apr 2025

https://github.com/msesia/chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

conformal-prediction machine-learning quantile-regression regression uncertainty-quantification

Last synced: 30 Oct 2025

https://github.com/srzstephen/disavu

A disaster response solution that helps allocate resources to where they're needed.

amazon-sagemaker-lab aws disaster-response fastai2 machine-learning python rust rust-lang sagemaker-studio-lab typescript

Last synced: 11 Apr 2025

https://github.com/dkoguciuk/mesh2pointcloud

A mini scripts to sample ModelNet40 or ShapeNetCore55v2 meshes into 3D point clouds

3d data deep-learning machine-learning

Last synced: 20 Mar 2025

https://github.com/mapbox/gabbar

Guarding OpenStreetMap from harmful edits using machine learning

banished jupyter-notebook machine-learning openstreetmap scikit-learn vandalism

Last synced: 12 Apr 2025

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/kyosek/ngboost-experiments

Play around with NGBoost and compare with LightGBM and XGBoost

boosting-algorithms house-price-prediction lightgbm machine-learning ngboost

Last synced: 15 May 2025

https://github.com/qiushisun/statistical-methods-and-machine-learning

2021 Spring (Statistical Methods and Machine Learning) 统计方法与机器学习

anova ecnu-dase linear-regression machine-learning mnist-handwriting-recognition statistics

Last synced: 20 Aug 2025

https://github.com/fracpete/collective-classification-weka-package

Semi-Supervised Learning and Collective Classification

java machine-learning plugin semi-supervised-learning weka

Last synced: 22 Apr 2025

https://github.com/c99koder/AudioClassifier-MQTT

Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT

audio audio-analysis home-assistant machine-learning mqtt python3 tensorflow-lite yamnet

Last synced: 07 Apr 2025

https://github.com/eshikashah/skillship-internship-data-science-projects

Utilized this lockdown to do something productive. SkillShip foundation provided and internship opportunity and here's the outcome. The projects made by me in these 2 months.

classification data-science internship machine-learning regression

Last synced: 28 Jul 2025

https://github.com/alessandrocorradini/harvard-data-analysis-for-life-science-xseries

Lectures, Code and Quizzes for the Data Science for Life Science XSeries

data-analysis datascience edx harvardx machine-learning

Last synced: 02 Jan 2026

https://github.com/andreacossu/relation-network-pytorch

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

machine-learning neural-reasoning python pytorch pytorch-implementation relation-network

Last synced: 14 Apr 2025

https://github.com/yhtang/graphdot

GPU-accelerated Marginalized Graph Kernel with customizable node and edge features; Gaussian process regression.

cheminformatics cuda gpu graph-algorithms machine-learning python

Last synced: 15 Apr 2025

https://github.com/kentonishi/jtr-cvpr-2024

[CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning

computer-vision cvpr2024 machine-learning multitask-learning

Last synced: 23 Mar 2025

https://github.com/spidy20/rice_disease_prediction_gui

Rice Disease Prediction App using SVM Machine learning algorithm with tkinter

deep-learning machine-learning rice-diseases rise-disease-prediction sklearn sm spidy20 tkinter-gui

Last synced: 18 Aug 2025

https://github.com/nanowell/differential-transformer-pytorch

PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model similar to large language models (LLMs). The architecture incorporates a novel Differential Attention mechanism, Multi-Head structure, RMSNorm, and SwiGLU.

differential-transformer large-language-models machine-learning pytorch

Last synced: 31 Jul 2025

https://github.com/gasteigerjo/lcn

Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

kernel-approximation machine-learning optimal-transport paper

Last synced: 28 Feb 2026

https://github.com/mainakrepositor/selfdriver

A self learning AI car that learns about obstacles and direction control in real time training and gradually gets more accurate in avoiding collisions

artificial-intelligence deployment javascript machine-learning netlify reinforcement-learning website

Last synced: 28 Feb 2026

https://github.com/google-research/slip

SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.

computational-biology machine-learning protein-design

Last synced: 24 Apr 2025

https://github.com/zakroum-hicham/football-analysis-cv

This repository contains a computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, and perspective transformation to analyze player movements in football videos

ai computer-vision data-science football-analytics kmeans-clustering machine-learning opencv yolov8

Last synced: 26 Mar 2025

https://github.com/hdmamin/jabberwocky

An Alexa skill providing a conversational interface to any public figure (as mimicked by GPT3). The legacy GUI is no longer maintained.

alexa alexa-skill audio chatbot gpt3 machine-learning python speech-recognition

Last synced: 14 Jan 2026

https://github.com/vmc-7645/YOLOv8-retail

Detect retail products via the YOLOv8 object recognition engine.

ai computer-vision deep-learning machine-learning object-detection pytorch yolo yolov8

Last synced: 21 Apr 2025

https://github.com/vsimkus/torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

data-science gradients machine-learning mixture-distributions mixture-model mixture-of-gaussians pytorch variational-inference

Last synced: 10 Oct 2025

https://github.com/mayer79/effectplots

Fast Effect Plots in R

machine-learning r regression xai

Last synced: 05 May 2025

https://github.com/luizgh/avc_nips_2018

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

adversarial-examples machine-learning

Last synced: 10 Apr 2025

https://github.com/blankeos/scoliovis

🦴 Automated Cobb Angle Measurement on Anterior-Posterior Spine X-Rays using Multi-Instance Keypoint Detection with Keypoint RCNN Thesis Package

computer-vision fastapi machine-learning pytorch react webapp

Last synced: 03 Jul 2025

https://github.com/jan-janssen/gmailsorter

Similarity based email sorting for Google Mail using RandomForest classifiers

google-mail-api machine-learning python random-forest-classifier

Last synced: 11 Apr 2026

https://github.com/iitzco/deepzoo

:wolf: :tiger: :whale2: :elephant: :monkey: Deep Learning model Zoo

artificial-intelligence deep-learning machine-learning modelzoo python

Last synced: 05 May 2025

https://github.com/kenethgarcia/classipygrb

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

astrophysics grbs machine-learning machine-learning-algorithms unsupervised-learning unsupervised-machine-learning

Last synced: 30 Oct 2025

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 05 May 2025

https://github.com/dhruvesh13/audio-genre-classification

Automatic music genre classification using Machine Learning algorithms like- Logistic Regression and K-Nearest Neighbours

audio-gene logistic-regression machine-learning mfcc python-2

Last synced: 22 Aug 2025

https://github.com/luk-ai/lukai

Luk.ai Clients - Federated Machine Learning for Everyone!

ai-clients android golang lukai machine-learning ml python tensorflow

Last synced: 11 Jun 2025

https://github.com/artitw/bert_qa

Accelerating the development of question-answering systems based on BERT and TF 2.0

artificial-intelligence bert machine-learning natural-language-processing natural-language-understanding nlp

Last synced: 21 Mar 2025

https://github.com/src-d/models

Machine learning models for MLonCode trained using the source{d} stack

machine-learning mlosc model nlp source-code

Last synced: 17 Feb 2026

https://github.com/nasaharvest/crop-maml

Learning to predict crop type from heterogeneous sparse labels using meta-learning

agriculture machine-learning meta-learning remote-sensing

Last synced: 06 Mar 2026

https://github.com/yashksaini-coder/codsoft

This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction

codsoft codsoft-internship codsoftinternship machine-learning machine-learning-algorithms

Last synced: 11 Apr 2025

https://github.com/jonathanwenger/pycalib

Non-Parametric Calibration for Classification (AISTATS 2020)

aistats-2020 machine-learning neural-networks probability-calibration

Last synced: 11 Apr 2025

https://github.com/bloomberg/mixce-acl2023

Implementation of MixCE method described in ACL 2023 paper by Zhang et al.

language-model machine-learning nlp python pytorch transformer

Last synced: 07 May 2025

https://github.com/datacte/sdxl-training-improvements

📊 Research-focused SDXL training framework exploring novel optimization approaches. Goals include enhanced image quality, training stability & comprehensive monitoring. ⭐ Performance-focused research framework.

deep-learning diffusion machine-learning stable-diffusion stable-diffusion-xl

Last synced: 21 Aug 2025

https://github.com/0xnaman1/american-sign-language-detection-using-computer-vision

The project is about translating American Sign Language into English language. It uses Computer Vision and Deep Learning to predict the ASL alphabet and forms sentences on the basis of prediction. It uses text to speech to convert the predicted word into speech. The project was implemented at MNNIT Hack36 Allahabad Hackathon.

computer-vision deeplearning keras machine-learning neural-network opencv tensorflow texttospeech

Last synced: 27 Jun 2025

https://github.com/ubccr/terf

Go library for reading/writing TensorFlow TFRecords file format

golang machine-learning tensorflow-examples

Last synced: 27 Jul 2025

https://github.com/robinka/web-deep-image-prior

Deep Image Prior for denoising, superresolution, inpainting and more in the browser

browser denoising functional inpainting keras machine-learning neural-networks react super-resolution tensorflow typescript web

Last synced: 04 Aug 2025

https://github.com/ahmetfurkandemir/online-istanbul-applied-data-science-102-bootcamp

Online Istanbul Applied Data Science 102 Bootcamp (Start : 15 August, Finish : 7 November)

bootcamp data-science deep-learning kodluyoruz machine-learning

Last synced: 15 Apr 2025

https://github.com/BiomedSciAI/DPM360

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

deep-learning healthcare machine-learning ohdsi omop python pytorch sklearn

Last synced: 09 Aug 2025

https://github.com/negrinho/research_toolbox

Utilities to help manage a machine learning experimental workflow

machine-learning research-data-management utilities utility-library workflow-management

Last synced: 06 Sep 2025

https://github.com/changhuixu/lstm-sentiment-analysis

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

dictionary l1-lstm lstm lstm-layes machine-learning review sentiment sentiment-analysis

Last synced: 20 Aug 2025

https://github.com/heet9022/recruitai

Recruitment Assisting platform which will help recruiters filter out resumes for a particular job profile

linkedin-scraper machine-learning recruiter resume-classfier

Last synced: 23 Sep 2025

https://github.com/younader/dnnr

The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.

annoy knn machine-learning machine-learning-algorithms numpy python3 scikit-learn tabular-data

Last synced: 15 Apr 2025

https://github.com/georg-wolflein/good-features

Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"

cancer computational-pathology computer-vision deep-learning machine-learning self-supervised-learning

Last synced: 16 Jan 2026

https://github.com/llnl/selfsupervised

Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018

deep-learning machine-learning

Last synced: 23 Oct 2025

https://github.com/bdusell/nondeterministic-stack-rnn

Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

conll2020 deep-learning iclr2022 iclr2023 language-model machine-learning neural-networks nlp pytorch rnn stack

Last synced: 12 Aug 2025

https://github.com/curiousily/Reproducible-ML-with-DVC

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking

Last synced: 29 Jul 2025

https://github.com/proycon/python-timbl

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

k-nearest-neighbours knn machine-learning python timbl

Last synced: 15 Apr 2025

https://github.com/knorth55/chainer-light-head-rcnn

[This project has moved to ChainerCV] Chainer Implementation of Light Head RCNN

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

Last synced: 28 Oct 2025

https://github.com/kennethleungty/data-centric-ai-competition

Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI

ai andrew-ng data-centric data-centric-ai data-science deep-learning machine-learning

Last synced: 09 Jul 2025

https://github.com/rpatrik96/nl-causal-representations

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model

Last synced: 03 Jul 2025

https://github.com/ceteri/nbtransom

Machines and people collaborating together through Jupyter notebooks.

active-learning collaborative-documents human-in-the-loop jupyter-notebook machine-learning pipelines python

Last synced: 23 Apr 2025

https://github.com/mlr-org/mlr3hyperband

Successive Halving and Hyperband in the mlr3 ecosystem

automl bbotk hyperband hyperparameter-tuning machine-learning mlr3 optimization r tune tuning

Last synced: 07 Mar 2026

https://github.com/mauroluzzatto/explainy

explainy is a Python library for generating machine learning model explanations for humans

data-science explanation machine-learning machine-learning-explainability python scikit-learn

Last synced: 07 Oct 2025

https://github.com/atomicsulfate/meshcnn-4-cadseg

Improved MeshCNN for surface type segmention on realistic CAD models.

cad cnn deep-learning machine-learning mesh pytorch segmentation

Last synced: 21 Jul 2025

https://github.com/francois-rozet/papers-101

Implementation of papers in 101 lines of code.

101 deep-learning generative machine-learning papers research

Last synced: 19 Jul 2025

https://github.com/sanofi-public/cimpact

Causal inference library for timeseries analysis

advanced-analytics ai causal-inference impact machine-learning solutions time-series

Last synced: 01 Mar 2026

https://github.com/ethanthoma/zensor

Zig tensor library

machine-learning tensor zig zig-package

Last synced: 24 Jan 2026

https://github.com/chinmayrane16/diamonds-in-depth-analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

data-visualization feature-engineering feature-scaling machine-learning matplotlib numpy pandas seaborn

Last synced: 18 Mar 2025

https://github.com/incognito124/knarrow

Shoot a knarrow to the knee

elbow knee machine-learning optimization python python3

Last synced: 13 Apr 2025

https://github.com/dunnkers/fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb

Last synced: 13 Apr 2025

https://github.com/so-cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 31 Oct 2025

https://github.com/curiousily/reproducible-ml-with-dvc

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking

Last synced: 07 Apr 2026

https://github.com/wwtg99/kaggle_getting_started

Kaggle getting started competition examples

kaggle machine-learning xgboost

Last synced: 22 Aug 2025

https://github.com/So-Cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 15 Jul 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 11,028 Uncategorized 8,018 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