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/mindinventory/bank-marketing-data-visualisation

This repository contains Python code for visualizing the Bank Marketing dataset using various data visualization techniques. The dataset is loaded from a CSV file, and both numerical and categorical features are explored using popular libraries such as Pandas, Matplotlib, Seaborn, and Plotly.

artificial-intelligence data-science data-visualization jupyter-notebook machine-learning matplotlib pandas plotly python seaborn

Last synced: 13 Apr 2025

https://github.com/nexuist/seev

A macOS command line wrapper around the Apple Vision framework

cli computer-vision machine-learning macos

Last synced: 28 Jan 2026

https://github.com/ashutosh1919/genai-posts

Repository contains LinkedIn posts about Generative AI knowledge sharing, learning resources and research explanations.

artificial-intelligence deeplearning generative-ai llm machine-learning multimodal

Last synced: 11 Oct 2025

https://github.com/eclypse-org/eclypse

An Edge-Cloud python platform for simulated (and emulated) runtime environments

cloud-computing edge-computing emulator machine-learning python ray simulator

Last synced: 14 Jan 2026

https://github.com/ssnl/poisson_quasimetric_embedding

Open source code for paper "On the Learning and Learnability of Quasimetrics".

deep-learning machine-learning pytorch

Last synced: 12 Oct 2025

https://github.com/dalmia/wannapark

Project aimed at presenting a model to find a vacant parking spot in real time and ensure car safety using Deep Learning (Parking spot Classification and Face recognition).

android-development classification computer-vision deep-learning face-recognition machine-learning python supervised-learning

Last synced: 17 Mar 2026

https://github.com/steven2358/mlx

Machine Learning Explorations - A list of machine learning resources

deep-learning machine-learning

Last synced: 03 Jan 2026

https://github.com/EvgenyNekrasov/gpod

GPOD - General Purpose Object Detector in Python

computer-vision detector machine-learning python

Last synced: 19 Jul 2025

https://github.com/97k/spam-ham-web-app

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

bag-of-words data-visualization django heroku-deployment jupyter-notebook machine-learning machine-learning-projects multinomial-naive-bayes nlp nltk spam-classification text-classification tfidf

Last synced: 27 Apr 2025

https://github.com/starling-lab/boostsrl

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

artificial-intelligence machine-learning machine-learning-algorithms pattern-classification statistical-learning

Last synced: 08 Apr 2025

https://github.com/pd3f/pd3f-core

📑 Python Package to reconstruct the original continuous text from PDFs with language models

dehyphenation language-model machine-learning pd3f pdf text-extraction

Last synced: 08 Apr 2026

https://github.com/markusdumke/reinforcelearn

R Package for Reinforcement Learning

machine-learning r r-package reinforcement-learning

Last synced: 07 May 2025

https://github.com/TheoCoombes/crawlingathome

A client library for LAION's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.

clip dall-e dataset dataset-generation image-text machine-learning

Last synced: 03 Apr 2025

https://github.com/soroushj/mhsma-dataset

MHSMA: The Modified Human Sperm Morphology Analysis Dataset

dataset deep-learning machine-learning medical-imaging

Last synced: 21 Jul 2025

https://github.com/kaslanarian/libsvm-sc-reading

阅读LibSVM源码的知识整理与思考(已完结)

libsvm machine-learning svm-model

Last synced: 12 Mar 2025

https://github.com/alexoarga/haiku-geometric

A collection of graph neural networks implementations in JAX

deep-learning geometric-deep-learning graph-neural-networks jax machine-learning python

Last synced: 16 Oct 2025

https://github.com/lorenzovaquero/BUSCA

[ECCV 2024] BUSCA: "Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking"

artificial-intelligence computer-vision eccv machine-learning multi-object-tracking paper pytorch real-time tracking

Last synced: 20 Mar 2025

https://github.com/boochow/tflite_micro_microspeech_m5stack

M5Stack (ESP32) port of TensorFlow Lite for Microcontrollers demo "Micro Speech"

esp32 m5stack m5stickc machine-learning speech-recognition tensorflow tflite

Last synced: 11 Apr 2025

https://github.com/tsudalab/mdts

Materials Design by Monte Carlo Tree Search

machine-learning materials-design python-library

Last synced: 16 May 2025

https://github.com/junweiliang/vera_shooter_localization

Code and model for the Video Event Reconstruction and Analysis (VERA) system. ACM Multimedia.

gunshot-detection machine-learning shooter-localization video-synchronization

Last synced: 19 Apr 2025

https://github.com/Rushi314/GPR-Object-Detection

This repository contains code to train object detection models like FRCNN/YOLO for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using Generative Adversarial Networks(GANs).

frcnn gans generative-adversarial-network ground-penetrating-radar machine-learning mmdetection object-detection yolo

Last synced: 21 Apr 2025

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

This repository contains code for the O'Reilly Live Online Training for BERT

bert deep-learning machine-learning natural-language-processing nlp transfer-learning transformers

Last synced: 24 Apr 2025

https://github.com/imputr/imputr

Python library for easy and fast ML-based & conventional imputation techniques.

machine-learning pandas python

Last synced: 26 Apr 2026

https://github.com/anilkumarteegala/wqu-ds-unit-2

This repo contains all the files material releated to WorldQuant University's Data Science Summer 2020 Session Unit 2: Machine Learning and Statistical Analysis

data-science machine-learning statistical-analysis wqu

Last synced: 02 Mar 2026

https://github.com/sharan-naribole/wlan_localization

A Machine Learning Approach to WLAN Fingerprinting based Localization

data-science localization machine-learning wi-fi

Last synced: 17 Mar 2026

https://github.com/anishlearnstocode/course-list

A comprehensive ist of all courses I have taken and successfully completed in University 🎓, Coursera 📗, Udemy etc.

cern coding-ninjas computer-vision course-work coursera courses deep-learning delhi-technological-university dtu french hackerrank machine-learning ml mooc programming specialization trinity-college-london udemy

Last synced: 04 Jan 2026

https://github.com/IBM/MAX-Image-Segmenter

Identify objects in an image, additionally assigning each pixel of the image to a particular object

docker-image machine-learning machine-learning-models tensorflow

Last synced: 13 May 2025

https://github.com/christian-vorhemus/procedural-3d-image-generation

This repository is demonstrating how Blender can be leveraged to create synthetic machine learning training data for computer vision tasks.

blender computer-vision machine-learning procedural-generation procedurally-generated synthetic-data synthetic-dataset-generation

Last synced: 18 Aug 2025

https://github.com/iskandr/knnimpute

Python implementations of kNN imputation

imputation machine-learning missing-data statistics

Last synced: 09 Mar 2026

https://github.com/nikhilroxtomar/fanet

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation [IEEE Transactions on Neural Networks and Learning Systems]

computer-vision deep-learning machine-learning pytorch semantic-segmentation unet

Last synced: 14 Apr 2025

https://github.com/cortexflow/cortexbrain

CortexBrain is an ambitious open source project aimed at creating an intelligent, lightweight, and efficient service mesh architecture to seamlessly connect cloud and edge devices

big-data data-science devops docker edge-computing in-development k8s kubernetes machine-learning microservices-architecture open-source rust rust-lang service-mesh

Last synced: 11 Apr 2025

https://github.com/soumik12345/nearest-celebrity-face

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

deep-learning deep-neural-networks deeplearning face face-recognition facenet facenet-model inception inception-resnet-v2 inceptionv2 keras keras-neural-networks keras-tensorflow machine-learning machinelearning meta-learning one-shot-learning python python3 tensorflow

Last synced: 06 May 2025

https://github.com/engineeringsoftware/teco

TeCo: an ML+Execution model for test completion

machine-learning ml4se test-completion testing

Last synced: 20 Jul 2025

https://github.com/adzialocha/tomomibot

Artificial intelligence bot for live voice improvisation

keras librosa machine-learning music

Last synced: 05 Apr 2025

https://github.com/dwyl/image-classifier

🖼️ Classify images and extract data from or describe their contents using machine learning

ai artificial-intelligence classification hugging-face huggingface image image-classification image-recognition learn machine-learning machinelearning tutorial

Last synced: 09 Mar 2026

https://github.com/timothywarner-org/prompt-pro

Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.

agentic-ai ai-training artificial-intelligence business-ai chatgpt claude context-engineering course-materials education google-gemini llm machine-learning mcp microsoft-copilot model-context-protocol openai oreilly professional-development prompt-engineering prompt-templates

Last synced: 11 Feb 2026

https://github.com/pacwoodson/ai-mask

Serve local ML inference engines to web apps

ai artificial-intelligence chrome-extension machine-learning wasm webgpu

Last synced: 05 Mar 2026

https://github.com/heyfey/vodascheduler

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)

deep-learning distributed-computing horovod kubeflow kubernetes machine-learning mlops pytorch scheduling tensorflow

Last synced: 13 Mar 2026

https://github.com/numerai/signals-example-scripts

The official example scripts for the Numerai Signals Data Science Tournament

machine-learning numerai quant-finance

Last synced: 03 Apr 2026

https://github.com/deepmodeling/DeePTB

DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.

dft hamiltonian machine-learning slater-koster tight-binding

Last synced: 24 Mar 2025

https://github.com/sash-a/codeepneat

An implementation of CoDeepNEAT using pytorch with extensions

automl machine-learning neat neat-algorithm neural-architecture-search neuroevolution

Last synced: 04 Jul 2025

https://github.com/juliaml/mllabelutils.jl

Utility package for working with classification targets and label-encodings

classification julia machine-learning preprocessing

Last synced: 05 Jul 2025

https://github.com/borgwardtlab/neural-persistence

Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'

algebraic-topology deep-learning iclr iclr2019 machine-learning neural-networks persistent-homology

Last synced: 16 Aug 2025

https://github.com/juliaml/transformations.jl

Static transforms, activation functions, and other implementations of LearnBase abstractions

julialang machine-learning neural-networks

Last synced: 05 Oct 2025

https://github.com/kasperskylab/knp

Kaspersky Neuromorphic Platform

cpp machine-learning ml neural-network python spiking

Last synced: 29 Jul 2025

https://github.com/snowflake-labs/sfguide-recommender-pipeline

Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker

amazon-sagemaker machine-learning sagemaker sagemaker-example snowflake snowflake-guide snowflakedb

Last synced: 02 Oct 2025

https://github.com/wbuchwalter/fairing

👩‍🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.

kubeflow kubernetes machine-learning

Last synced: 06 Apr 2025

https://github.com/prakhar-ff13/customer-analytics

Machine Learning Case study on customer segmentation and prediction of groups.

analytics case-study data-analysis data-science data-visualization dimensionality-reduction machine-learning python python3

Last synced: 24 Jul 2025

https://github.com/tgsmith61591/skutil

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

h2o machine-learning pandas python sklearn

Last synced: 13 Apr 2025

https://github.com/nanowell/q-sparse-llm

My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

artificial-intelligence deep-neural-networks deeplearning large-language-models machine-learning q-sparse sparse-neural-networks transformer

Last synced: 24 Jun 2025

https://github.com/aiff22/decision-stream

Clojure implementation of the paper "Decision Stream: Cultivating Deep Decision Trees"

classification decision-stream decision-trees machine-learning machine-learning-algorithms nodes-merging regression two-sample-statistics

Last synced: 12 May 2025

https://github.com/lusinlu/gradient-variance-loss

Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"

deep-learning loss loss-functions machine-learning model-optimization super-resolution training upscaling

Last synced: 20 Jun 2025

https://github.com/juandelgadillo/angular-autodraw

An Angular app integrating Google's AutoDraw AI API through Canvas

ai angular art autodraw deep-learning machine-learning

Last synced: 23 Mar 2025

https://github.com/ashryaagr/fairness.jl

Julia Toolkit with fairness metrics and bias mitigation algorithms

bias-audit bias-mitigation fairness fairness-assessment fairness-ml julia machine-learning mlj

Last synced: 15 Apr 2025

https://github.com/frantic0/sema-engine

A Signal Engine for a Live Code Language Ecosystem

digital-signal-processing grammar-specification machine-learning webaudio

Last synced: 30 Jun 2025

https://github.com/abacaj/transformers-docker

Run, build, test transformer models using docker

deep-learning docker machine-learning transformers

Last synced: 26 Feb 2025

https://github.com/microsoft/responsible-ai-workshop

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml jupyter-notebook machine-learning ml mlops-workshop principles responsible-ai widgets

Last synced: 16 Mar 2026

https://github.com/moaminsharifi/my-ai-resource

Hello My friend , In This repository I Store My AI and Machine Learning + Deep Learning Resources. In here I list paid and free course and books.

deep-learning machine-learning udacity

Last synced: 15 Oct 2025

https://github.com/dtormoen/neural-open.nvim

A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.

lua machine-learning neovim neovim-plugin snacks-nvim

Last synced: 02 Mar 2026

https://github.com/scdataset/scdataset

scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics

big-data bioinformatics deep-learning machine-learning omics pytorch rna-seq single-cell

Last synced: 08 Oct 2025

https://github.com/silk-road/statistical_learning_method_by-dr.-li-hang

基于Julia 1.0写李航博士《统计学习方法》

julialang machine-learning statistical-learning

Last synced: 10 Apr 2025

https://github.com/hktxt/Courses

An AI engineer Prepares / 算法工程师自我修养

assignments course coursera deep-learning machine-learning

Last synced: 26 Mar 2025

https://github.com/eminSerin/NBS-Predict

A prediction-based extension of network-based statistics.

biomarkers connectome machine-learning nbs-predict neuroimaging

Last synced: 01 May 2025

https://github.com/m-clark/data-processing-and-visualization

This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.

data-processing data-science datatable dplyr ggplot2 htmlwidgets jupyter-notebooks machine-learning model-criticism modeling numpy pandas programming programming-exercises python r tidyverse visualization workshop workshops

Last synced: 02 Sep 2025

https://github.com/tetsumichiumada/text2emoji

Predict an emoji that is associated with a text

emoji machine-learning python sentiment-analysis

Last synced: 15 Jun 2025

https://github.com/nikolaydubina/go-ml-benchmarks

⏱ Benchmarks of machine learning inference for Go

benchmarks cpp go grpc inference machine-learning python scikit-learn xgboost

Last synced: 26 Aug 2025

https://github.com/hyparam/hyllama

llama.cpp gguf file parser for javascript

gguf javascript js llama-cpp llamacpp llm machine-learning ml parser

Last synced: 17 Mar 2025