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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/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/waikato-datamining/adams-base

Base modules for ADAMS, the Advanced Data Mining and Machine Learning System.

java machine-learning maven workflow-engine

Last synced: 30 Apr 2025

https://github.com/xhluca/covid-qa

A collection of COVID-19 question-answer pairs and transformer baselines for evaluating QA models (Official Repository)

dataset machine-learning question-answering

Last synced: 08 Apr 2025

https://github.com/dalmia/deep-learning-tutorials

Deep learning tutorials for classification of MNIST digits using CNNs and solutions to assignments for Udacity's deep learning course

deep-learning machine-learning tensorflow

Last synced: 02 Jul 2025

https://github.com/radiantearth/model_ecaas_agrifieldnet_gold

AgriFieldNet Model for Crop Detection from Satellite Imagery

earth-observation gradient-boosting machine-learning unet

Last synced: 12 Apr 2025

https://github.com/sinanuozdemir/oreilly-bert-hands-on-nlp

This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT

artificial-intelligence bert deep-learning machine-learning nlp transfer-learning

Last synced: 24 Apr 2025

https://github.com/mitre/ilpyt

ilpyt: imitation learning library with modular, baseline implementations in Pytorch

imitation-learning machine-learning reinforcement-learning

Last synced: 21 Apr 2025

https://github.com/snap-research/stable-flow

Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing"

deep-learning diffusion-models flow-models generative-ai image-editing machine-learning text-to-image

Last synced: 15 May 2025

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/lucastheis/logistic_lda

Basic tensorflow implementation of logistic latent Dirichlet allocation

classification lda machine-learning tensorflow topic-modeling

Last synced: 03 May 2025

https://github.com/mratsim/apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

clustering geolocalization gradient-boosting kaggle kaggle-competition lightgbm machine-learning natural-language-processing xgboost

Last synced: 06 May 2025

https://github.com/jeds6391/lgp

A robust Linear Genetic Programming implementation on the JVM using Kotlin.

ai genetic-programming gp jvm kotlin lgp linear-genetic-programming machine-learning

Last synced: 12 Oct 2025

https://github.com/alexioannides/llm-regression

Exploring the classical regression capabilities of LLMs.

genai llm machine-learning openai regression

Last synced: 20 Oct 2025

https://github.com/vigyaai/profile-picker-

The project is based on semantic search for "Semantic Search AI Hackathon on LabLab.ai"

cohere css deeplearning html javascript jupyter-notebook machine-learning ml node python semanticsearch webdevelopment

Last synced: 06 Oct 2025

https://github.com/ratschlab/aestetik

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge

machine-learning spatial-transcriptomics

Last synced: 13 Mar 2026

https://github.com/rizalzaf/adversarialprediction.jl

Easily optimize generic performance metrics in differentiable learning.

adversarial-prediction deep-learning machine-learning neural-networks

Last synced: 21 Oct 2025

https://github.com/livelace/opennlp-models

OpenNLP models for Russian language based on news feeds.

machine-learning news opennlp opennlp-models russian-language

Last synced: 09 Aug 2025

https://github.com/mathspp/nnfwp

Neural Networks Fundamentals with Python – implementing neural networks from scratch

deep-learning machine-learning machine-learning-tutorials neural-network neural-networks neural-networks-from-scratch python python3

Last synced: 06 Apr 2025

https://github.com/scicloj/metamorph.ml

Machine learning functions for metamorph based on machine learning pipelines

machine-learning

Last synced: 20 Aug 2025

https://github.com/elata-biosciences/elata-vsm-system-4

AI-powered intelligence platform aggregating breakthroughs in neuroscience, computational psychiatry, and mental health research. Built with Next.js, ChatGPT API, and TypeScript.

artificial-intelligence biohacking brain-computer-interface chatgpt computational-psychiatry cryptocurrency dao desci llm machine-learning mental-health neuroscience nextjs open-ai open-science psychiatry puppeteer research-tools scraping typescript

Last synced: 18 Aug 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/vaibhavs10/ml-with-text

[Tutorial] Demystifying Natural Language Processing with Python

machine-learning natural-language-processing nlp python text-classification

Last synced: 20 Aug 2025

https://github.com/johannfaouzi/pyts-repro

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

classification machine-learning python series-transformation timeseries timeseries-analysis

Last synced: 14 Apr 2025

https://github.com/ncordon/undergraduate-dissertation

Final career project on PAC theory and imbalanced datasets

imbalanced-learning machine-learning pac-theory

Last synced: 19 Feb 2026

https://github.com/miscellaneousstuff/pylol

League of Legends v4.20 RL Environment (LoLRLE)

league-of-legends machine-learning reinforcement-learning

Last synced: 20 Feb 2026

https://github.com/bcbi/predictmd.jl

Uniform interface for machine learning in Julia

framework interface julia learning machine machine-learning pipeline workflow

Last synced: 03 Aug 2025

https://github.com/pottekkat/virtual-drums

A virtual drum set built using Open CV

computer-vision machine-learning opencv virtual-drums

Last synced: 20 Aug 2025

https://github.com/EngineeringSoftware/roosterize

Tool for suggesting lemma names in Coq verification projects

coq deep-learning machine-learning mathcomp name-generation neural-networks pytorch serapi

Last synced: 22 Jul 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/lucko515/breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

breast-cancer-wisconsin classification classification-algorithims machine-learning

Last synced: 14 Apr 2025

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 21 Aug 2025

https://github.com/rfonod/deepsleep2

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

cnn computational-efficiency convolutional-networks deep-learning encoder-decoder machine-learning medical-ai multichannel neural-networks physionet polysomnography pytorch segmentation sleep-analysis sleep-apnea sleep-arousals time-series u-net

Last synced: 01 Sep 2025

https://github.com/hibayesian/spark-lof

A parallel implementation of local outlier factor based on Spark

local-outlier-factor machine-learning outlier-detection spark

Last synced: 30 Jul 2025

https://github.com/marketcalls/openadvisor

Self Hostable - Personal Machine Learning Based Stock Recommendation Platform

catboost daisyui flask investment-analysis machine-learning python sqlite stock-price-prediction tailwindcss tradingview

Last synced: 13 Aug 2025

https://github.com/smarttensors/nmfk.jl

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

blind-source-separation feature-extraction julia machine-learning physics-informed-learning scientific-computing scientific-machine-learning source-identification unsupervised-machine-learning

Last synced: 18 Feb 2026

https://github.com/elenamer/ecg_classification_dl

ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG

arrhythmia-classification ecg machine-learning

Last synced: 09 Aug 2025

https://github.com/erupturatis/neuralnetworkplayground

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

backpropagation d3 d3js d3js-graph machine-learning neural-network neural-network-visualization react reactjs rendering visualization

Last synced: 31 Aug 2025

https://github.com/vida-nyu/pycalibrate

pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks

calibration machine-learning model-analysis model-calibration

Last synced: 11 Sep 2025

https://github.com/cpury/pong-rl

Reinforcement Learning with Pong in the Browser via TensorFlow.js

game-development machine-learning reinforcement-learning tensorflowjs tfjs

Last synced: 06 May 2025

https://github.com/deepset-ai/haystack-home

Website for Haystack, the open source LLM framework

blog llm machine-learning nlp open-source

Last synced: 12 Apr 2025

https://github.com/cea-list/rpcdataloader

A variant of the PyTorch Dataloader using remote workers.

data-science dataloader distributed-computing hpc machine-learning preprocessing pytorch slurm

Last synced: 21 Jun 2025

https://github.com/minhaskamal/alphabetrecognizer

Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)

alphabet-recognizer data database english image-processing java machine-learning ocr sample template-matching text-recognition training-data writing

Last synced: 11 Apr 2025

https://github.com/riscy/machine_learning_linear_models

A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.

linear-model machine-learning

Last synced: 11 Apr 2025

https://github.com/lightly-ai/lightly-train

LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications

computer-vision contrastive-learning deep-learning distillation embeddings machine-learning pretrained-models python pytorch self-supervised self-supervised-learning

Last synced: 18 Apr 2025

https://github.com/pourmand1376/PersianCrawler

Open source crawler for Persian websites.

crawler machine-learning news python scrapy tasnim text-classification

Last synced: 09 Jul 2025

https://github.com/marceariel99/simil-photo

Software to detect and delete similar images in a directory

machine-learning python

Last synced: 21 Apr 2025

https://github.com/krisharul26/motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

artificial-intelligence computer-vision image-processing imageclassification keras-tensorflow labelimg-tool machine-learning objectdetection tensorflow2 transfer-learning yolov3

Last synced: 12 May 2025

https://github.com/ntia/alignnet

Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.

corpus-effect listening-experiment machine-learning no-reference-audio-quality-assessment speech-quality speech-quality-evaluation subjective-tests

Last synced: 01 Sep 2025

https://github.com/nazanin1369/datamining-knn

Implement KNN classification algorithm in Python

knn-classification machine-learning

Last synced: 23 Mar 2025

https://github.com/ilijamihajlovic/coreml-and-vision-with-a-pre-trained-deep-learning-ssd-model

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.

computer-vision coreml coreml-framework coreml-image-classifier coreml-model coreml-models coreml-vision image-classification image-recognition machine-learning object-detection swift vison

Last synced: 08 Oct 2025

https://github.com/elbruno/elbruno.qwentts

Qwen3-TTS ONNX export pipeline + C# .NET 10 console app for local voice generation

ai csharp dotnet machine-learning nuget onnx onnx-runtime qwen qwen3-tts speech-synthesis text-to-speech tts voice-cloning

Last synced: 15 Apr 2026

https://github.com/asem000/serket

The ✨Magical✨ JAX ML Library.

jax machine-learning neural-network

Last synced: 07 Oct 2025

https://github.com/ryandsilva/nn-from-scratch

:star: Implementation of Neural Networks from Scratch Using Python & Numpy :star:

deep-learning hacktoberfest machine-learning neural-network numpy python

Last synced: 17 Mar 2026

https://github.com/yutkin/news-aggregator

Classification and aggregation of russian news articles. University coursework.

classification coursework machine-learning news news-aggregator nlp university

Last synced: 05 Apr 2025

https://github.com/faceplugin-ltd/open-source-face-recognition-sdk

The world's 1st open source face recognition SDK for Windows and Linux (Face detection, Face landmark extraction, Face feature extraction, Face template mathcing)

deep-learning face-detection face-landmark-detection face-recognition identity-verification machine-learning open-source python

Last synced: 07 Mar 2026

https://github.com/zongxr/dcic2024-offshore-wind-power

本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55

lightgbm machine-learning sklearn time-series

Last synced: 09 May 2025

https://github.com/msesia/conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

conformal-prediction false-discovery-rate machine-learning outlier-detection statistics

Last synced: 30 Oct 2025

https://github.com/progamergov/pytorch-convis

A tool to visualize convolutional layer activations on an input image.

cnn convis heatmap machine-learning network-in-network neural-style-pt nin pytorch vgg vision visualisation visualization

Last synced: 19 Mar 2025

https://github.com/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 Jun 2025

https://github.com/afathi/turicreate-notebooks

Demonstrating how to create custom Core ML models 👾🤖

computer-vision coreml ios machine-learning macos python watchos

Last synced: 04 Apr 2025

https://github.com/florentf9/sparkml-som

:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)

clustering machine-learning scalable self-organizing-map som spark spark-ml spark-mllib

Last synced: 06 May 2025

https://github.com/adelrizq/orchestra

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

adelrizq binarization hemdan image-processing machine-learning machine-readable mahboub noise-removal omr omr-sheet optical-character-recognition optical-music-recognition segmentation

Last synced: 05 May 2025

https://github.com/ssydasheng/gpflow-slim

customized GPflow with simple Tensorflow API

gaussian-processes machine-learning

Last synced: 11 Sep 2025

https://github.com/zhenye-na/coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines

Last synced: 02 May 2025

https://github.com/linhaowei1/CLoG

✌ CLoG: Benchmarking Continual Learning of Image Generation Models

continual-learning diffusion-models gan generative-model huggingface machine-learning stable-diffusion

Last synced: 27 Mar 2025

https://github.com/joerihermans/constraining-dark-matter-with-stellar-streams-and-ml

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

astrophysics dark-matter deep-learning likelihood-free-inference machine-learning simulation-based-inference

Last synced: 21 Sep 2025

https://github.com/cschoeller/pycandle

Lightweight library for executing PyTorch experiments without boilerplate code.

deep-learning machine-learning neural-networks python pytorch

Last synced: 09 Apr 2026

https://github.com/nmandery/extended-isolation-forest

Rust port of the extended isolation forest algorithm for anomaly detection

anomaly-detection isolation-forest machine-learning

Last synced: 30 Aug 2025

https://github.com/shivaylamba/machine-learning-mentorship

Repository for GirlScript Winter Mentorship Programme for Machine Learning

girlscript machine-learning mentorship python

Last synced: 14 Apr 2025

https://github.com/MilaNLProc/bertlang

A web interface to understand language-specific BERT-models

artificial-intelligence bert-model machine-learning nlp nlp-machine-learning

Last synced: 23 Aug 2025

https://github.com/safe-ds/dsl

Statically checked Data Science programs.

data-science dsl learnability machine-learning safety static-analysis usability

Last synced: 26 Jun 2025

https://github.com/jakartaresearch/maleo

Wrapper library for text cleansing, preprocessing in NLP

indonesian-language machine-learning nlp nlp-library

Last synced: 25 Sep 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-ml4co 615 awesome-jax 218
Machine learning Categories
Papers 11,174 Uncategorized 8,080 Books 4,098 fl in top-tier journal 3,255 Scalability 2,953 A01_文本生成_文本对话 2,414 **Literature and Codes** 2,279 Vision 2,030 Repos 1,864 Table of Contents 1,717 Paper List 1,716 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 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,032 Videos 1,012