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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/takuya-takeuchi/openposedotnet

OpenPose wrapper written in C++ and C# for Windows

dotnet human-pose-estimation machine-learning openpose windows

Last synced: 28 Jul 2025

https://github.com/imdeep2905/neural-network-sandbox

This is a source code of Software called Neural Network Sandbox.Neural Network Sandbox makes making and training basic feed forward neural networks easy.

deep-learning gui keras kivy machine-learning matplotlib neural-networks python tensorflow

Last synced: 07 Mar 2026

https://github.com/arabiaweather/athena

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

academia curve-fitting equation-solver interpretability machine-learning optimization research-tool simulation-framework symbolic-computation symbolic-regression tensorflow

Last synced: 25 Mar 2025

https://github.com/fluxml/daggerflux.jl

Distributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already

deeplearning flux fluxml julia machine-learning

Last synced: 28 Apr 2025

https://github.com/salkuadrat/learning

The easy way to use Machine Learning Kit in Flutter.

dart flutter machine-learning mlkit

Last synced: 23 Oct 2025

https://github.com/mitre/menelaus

Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.

concept-drift data-drift data-science drift-detection machine-learning statistics

Last synced: 16 Mar 2026

https://github.com/visual-layer/visuallayer

Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, mislabels and others.

cleaning computer computer-vision data data-science dataset datasets-preparation generative machine-learning python vision

Last synced: 19 Apr 2025

https://github.com/alessiospuriomancini/cosmopower

Machine Learning - accelerated Bayesian inference

bayesian-inference cosmology deep-learning machine-learning tensorflow

Last synced: 04 Apr 2025

https://github.com/opennyai/opennyai

Opennyai : An efficient NLP Pipeline for Indian Legal documents

indian-laws indian-legal-judgements legalnlp machine-learning natural-language-processing nlp python spacy

Last synced: 21 Aug 2025

https://github.com/qnbhd/mljet

Minimalistic ML-models auto deployment tool

deploy machine-learning ml mlops python

Last synced: 30 Jan 2026

https://github.com/zd87pl/ai-crypto-trader

An experimental cryptocurrency trading system that combines AI-powered analysis with real-time market data and social sentiment monitoring. Features multiple microservices including market monitoring, social sentiment analysis, AI-driven trading signals, and automated trade execution. Built for fun.

ai ai-trading automated-trading-in-financial-markets binance-api crypto-trading cryptocurrency docker machine-learning openai python realtime redis sentiment-analysis technical-analysis trading-bot trading-strategy tradingbot

Last synced: 13 Apr 2026

https://helioml.org

A book about machine learning, statistics, and data mining for heliophysics

data-mining heliophysics machine-learning statistics

Last synced: 31 Mar 2025

https://github.com/danielegrattarola/gnca

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

cellular-automata graph-neural-networks machine-learning neurips-2021 tensorflow

Last synced: 11 Aug 2025

https://github.com/liquidSVM/liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

apache-spark c-plus-plus classification expectile-regression machine-learning matlab ml octave python quantile-regression r r-package regression rstats svm

Last synced: 15 Mar 2025

https://github.com/caseykneale/chemometricstools.jl

A collection of tools for chemometrics and machine learning written in Julia.

chemometrics classification curve-resolution julia machine-learning regression sampling

Last synced: 12 Sep 2025

https://github.com/fastai/book.fast.ai

Information for readers of the fastai book

data-science deep-learning machine-learning python pytorch teaching

Last synced: 24 Dec 2025

https://github.com/abhishekkrthakur/pysembler

An automatic ensembler of machine learning models in python

ensemble-learning machine-learning

Last synced: 30 Apr 2025

https://github.com/soskek/convolutional_seq2seq

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

chainer deep-learning deep-neural-networks machine-learning seq2seq

Last synced: 15 Jun 2025

https://github.com/pliang279/factorized

[ICLR 2019] Learning Factorized Multimodal Representations

machine-learning multimodal-learning representation-learning

Last synced: 05 May 2025

https://github.com/m-clark/book-of-models

Spells for everyday living. (also a book coming out in 2025)

linear-models machine-learning python r-language

Last synced: 30 Apr 2025

https://github.com/w4k2/stream-learn

The stream-learn is an open-source Python library for difficult data stream analysis.

data-streams machine-learning python software

Last synced: 17 Jan 2026

https://github.com/sdpython/mlprodict

Productionize machine learning predictions, with ONNX or without

machine-learning onnx python3 scikit-learn

Last synced: 13 Dec 2025

https://github.com/mononitogoswami/tsad-model-selection

Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.

anomaly-detection machine-learning model-selection time-series-analysis unsupervised-learning

Last synced: 26 Mar 2025

https://github.com/tensorflow/tfjs-data

Simple APIs to load and prepare data for use in machine learning models

data deep-learning javascript machine-learning neural-network tensorflow tfjs

Last synced: 30 Sep 2025

https://github.com/powersyang/coursera_ml_exercise

吴恩达机器学习公开课作业中文版本以及Python实现

andrew-ng coursera machine-learning ml python

Last synced: 25 Jul 2025

https://github.com/pliang279/sent_debias

[ACL 2020] Towards Debiasing Sentence Representations

fairness-ai machine-learning natural-language-processing representation-learning

Last synced: 03 Mar 2026

https://github.com/smerkyg/gptcore

Fast modular code to create and train cutting edge LLMs

gpt llm-training llms machine-learning

Last synced: 12 May 2025

https://github.com/pathak-ashutosh/eye-blink-detection

Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.

blink-detection-algorithm computer-vision deep-learning eye-detection eye-tracking hog machine-learning svm

Last synced: 23 Apr 2025

https://github.com/orvillex/machinelearning

本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。

knn llm machine-learning mllm numpy scipy siglip sklearn spark-mllib svm tensorflow

Last synced: 09 Apr 2025

https://github.com/Blunde1/agtboost

Adaptive and automatic gradient boosting computations.

adaptive-learning gradient-boosting information-theory machine-learning

Last synced: 13 Jul 2025

https://github.com/gvaliente/pocket-tensor

Run Keras models from a C++ application on embedded devices

cpp11 deep-learning embedded keras machine-learning simd

Last synced: 11 Jul 2025

https://github.com/erdogant/hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

catboost crossvalidation gridsearch hyperoptimization lightboost machine-learning python xgboost

Last synced: 06 Apr 2026

https://github.com/charmve/paperweeklyai

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

advanced applied-machine-learning computer-vision data-mining data-science deep-learning machine-learning machine-learning-algorithms nlp paper-with-code papers study-papers tutorials

Last synced: 23 Jun 2025

https://github.com/dayyass/qaner

Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.

data-science machine-learning named-entity-recognition natural-language-processing ner nlp python python3 question-answering

Last synced: 13 Apr 2025

https://github.com/liquidsvm/liquidsvm

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

apache-spark c-plus-plus classification expectile-regression machine-learning matlab ml octave python quantile-regression r r-package regression rstats svm

Last synced: 19 Jun 2026

https://github.com/speediedan/finetuning-scheduler

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

artificial-intelligence fine-tuning finetuning machine-learning neural-networks pytorch pytorch-lightning superglue transfer-learning

Last synced: 01 Sep 2025

https://github.com/paperspace/gradient-cli

The command line interface for Gradient - https://gradient.paperspace.com

ai deep-learning gradient machine-learning machine-learning-library paperspace python

Last synced: 07 Apr 2025

https://github.com/remykarem/mixed-naive-bayes

Naive Bayes with support for categorical and continuous data

categorical-data machine-learning naive-bayes-algorithm

Last synced: 13 Aug 2025

https://github.com/jinglescode/demos

Some JavaScript works published as demos, mostly ML or DS

javascript machine-learning natural-language-processing nodejs reinforcement-learning tensorflowjs

Last synced: 15 Apr 2025

https://github.com/localcascadeensemble/lce

Random Forest or XGBoost? It is Time to Explore LCE

classification data-science machine-learning python regression scikit-learn-api

Last synced: 13 Apr 2025

https://github.com/radiantearth/crop-type-detection-iclr-2020

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

crop-classification earth-observations machine-learning satellite-imagery

Last synced: 12 Apr 2025

https://github.com/mrdvince/breast_cancer_detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

breast-cancer breast-cancer-prediction deep-learning deep-learning-library detection histopathological-images machine machine-learning pytorch

Last synced: 20 Jun 2025

https://github.com/bsharchilev/influence_boosting

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

catboost gradient-boosting influence-functions machine-learning machine-learning-algorithms paper python

Last synced: 27 Mar 2025

https://github.com/iandanforth/pymuscle

A motor unit based model of skeletal muscle and fatigue

agent-based-simulation machine-learning neuroscience physiology

Last synced: 06 Apr 2025

https://github.com/juliaai/mljtuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

grid-search hyperparameter-optimization julia machine-learning mlj random-search

Last synced: 17 Mar 2025

https://github.com/sribdcn/personalexam

🧠 AI-powered Personalized Exam System: Integrating OpenPangu LLM, Knowledge Graph RAG, and BKT algorithm for adaptive question generation and recommendation. 基于LLM与知识图谱的智能个性化出题系统。

adaptive-learning artificial-intelligence ascend-npu bayesian-knowledge-tracing bkt data-visualization edtech education-system generative-ai gradio intelligent-tutoring knowledge-graph llm machine-learning nlp pangu personalized-learning python pytorch rag

Last synced: 03 Feb 2026

https://github.com/cloud-cv/vqa

CloudCV Visual Question Answering Demo

artificial-intelligence machine-learning vqa vqa-dataset

Last synced: 14 Jun 2025

https://github.com/poloclub/webshap

JavaScript library to explain any machine learning models anywhere!

interpretability machine-learning tensorflowjs transformer visualization

Last synced: 20 Aug 2025

https://github.com/makazhanalpamys/soup

Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

artificial-intelligence cli dpo fine-tuning finetuning gguf huggingface llm llmops local-llm lora machine-learning model-finetuning ollama peft python pytorch qlora sft transformers

Last synced: 01 Jun 2026

https://github.com/ORNL/HydraGNN

Distributed PyTorch implementation of multi-headed graph convolutional neural networks

machine-learning

Last synced: 27 Mar 2025

https://github.com/FarrellDay/miceRanger

miceRanger: Fast Imputation with Random Forests in R

imputation-methods machine-learning mice missing-data missing-values r random-forests

Last synced: 13 Jul 2025

https://github.com/dwhitena/oreilly-ai-k8s-tutorial

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

ai data-science deep-learning docker kubernetes machine-learning

Last synced: 13 Sep 2025

https://github.com/aws-solutions/discovering-hot-topics-using-machine-learning

The Discovering Hot Topics Using Machine Learning solution helps brand-conscious customers understand the most popular topics being actively discussed by ingesting digital assets and performing near real-time inferences and analytics

amazon-quicksight-dashboard architecture-overview artificial-intelligence aws-cloud machine-learning quicksight

Last synced: 05 Sep 2025

https://github.com/nikolamilosevic86/owasp-seraphimdroid

OWASP Seraphimdroid is an open source project with aim to create, as a community, an open platform for education and protection of Android users against privacy and security threats.

android-application defender machine-learning malware-detection malware-research owasp privacy security

Last synced: 12 Oct 2025

https://github.com/codingforentrepreneurs/the-hello-world-of-machine-learning

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

machine-learning machine-learning-python ml python scikit-learn tutorial

Last synced: 18 Jan 2026

https://github.com/hemansnation/machine-learning-mlops-generativeai-nlp-cv-mlsystem-design

MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.

computer-vision data-science deep-learning generative-ai machine-learning natural-language-processing python

Last synced: 15 Apr 2025

https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML

A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input

linear-regression machine-learning php python web-application

Last synced: 08 May 2025

https://github.com/uf3/uf3

UF3: a python library for generating ultra-fast interatomic potentials

force-fields interatomic-potentials machine-learning materials-science molecular-dynamics

Last synced: 04 May 2025

https://github.com/gugarosa/learnergy

💡 Learnergy is a Python library for energy-based machine learning models.

dbn energy machine-learning python pytorch rbm

Last synced: 10 Apr 2025

https://github.com/dlab-berkeley/MachineLearningWG

D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python

machine-learning statistical-learning ucberkeley

Last synced: 26 Apr 2025

https://github.com/ethanyuan/tensorflow-zero-to-n

《TensorFlow从0到N》是一个技术文章系列，从一个线性回归问题开始，逐步递进至现代卷积网络，构建完整的深度学习基础。

ai deep-learning machine-learning python tensorflow

Last synced: 21 Mar 2025

https://github.com/durner/yolo-autonomous-drone

YOLO Autonomous Drone - Deep Learning Person Detection: The YOLO Drone localizes and follows people with the help of the YOLO Deep Network

actuators ar-drone autonomous deep-learning drone keras machine-learning yolo yolo-network

Last synced: 13 Apr 2025

https://github.com/kxsystems/ml

Machine-learning toolkit

fresh kdb machine-learning python q

Last synced: 22 Aug 2025

https://github.com/ztxtech/Time-Evidence-Fusion-Network

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)

cuda deep-learning machine-learning macos neural-network neural-networks pytorch time-series time-series-analysis time-series-forecasting time-series-prediction uestc

Last synced: 01 Apr 2025

https://github.com/MSUSAzureAccelerators/Conversational-Azure-OpenAI-Accelerator

The Conversational Azure OpenAI (ChatGPT) Accelerator, from Microsoft partner Zammo.ai, uses OpenAI to improve customer experience by automating conversations and summarizations. This leverages Azure AI services, deploys to voice and text channels, and saves customers time creating UI, conversational flows, and API integrations.

accelerator ai analytics artificial-intelligence azure chatbot chatgpt machine-learning microsoft openai telephony

Last synced: 25 Mar 2025

https://github.com/ornl/hydragnn

Distributed PyTorch implementation of multi-headed graph convolutional neural networks

machine-learning

Last synced: 05 Apr 2025

Machine learning Awesome Lists
awesome-scalability 920 awesome-datascience 940 awesome-deep-learning 598 awesome-deep-learning-papers 238 awesome-production-machine-learning 543 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 455 awesome-learning-resources 499 learn-ai-engineering 114 awesome-ai-tools 435 awesome-quant 142 awesome-mlops 314 Awesome-Geospatial 1,521 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 11,000 Uncategorized 7,973 Books 4,038 fl in top-tier journal 3,220 Scalability 2,953 A01_文本生成_文本对话 2,389 **Literature and Codes** 2,262 Vision 2,031 Repos 1,845 Table of Contents 1,655 fl in top ml conference and journal 1,564 Blog Posts 1,538 Paper List 1,493 Year 2022 1,444 Publications-and-Preprints 1,179 Articles & Blogs 1,156 Attack 1,063 Computational Information Geometry 1,052 Research Papers 1,028 Videos 926