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/ww-tech/primrose

Primrose modeling framework for simple production models

dag data-science datascience deployment machine-learning primrose python workflows

Last synced: 01 Aug 2025

https://github.com/techprimers/core-nlp-example

Natural Language Processing Example using Stanford's Core NLP Java Library

core-nlp machine-learning natural-language-processing

Last synced: 15 Apr 2025

https://github.com/beyond-ml-labs/beyondml

Software for developing sparse, performant, multitask artificial neural networks

deep-learning machine-learning neural-network pytorch tensorflow

Last synced: 29 Apr 2025

https://github.com/adeshpande3/machinelearningreimplementations

Just trying to reimplement machine learning techniques like linear regression, neural nets, logistic regression, etc in Python

machine-learning python

Last synced: 13 May 2025

https://github.com/jonathanpeppers/inclusive-code-reviews-browser

A chrome web extension for improving code reviews on Github or Azure DevOps

azure-devops chrome-extension code-review github hacktoberfest machine-learning

Last synced: 23 Oct 2025

https://github.com/juaml/julearn

Forschungszentrum Jülich Machine Learning Library

machine-learning python

Last synced: 04 Apr 2026

https://github.com/vubacktracking/coursera-machine-learning-specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

andrew-ng andrew-ng-machine-learning coursera-specialization decision-trees gradient-descent linear-regression logistic-regression machine-learning neural-network python softmax-regression supervised-learning tensorflow unsupervised-learning xgboost

Last synced: 12 Apr 2025

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/wang-boyu/coursera-machine-learning

MATLAB assignments in Coursera's Machine Learning course

coursera machine-learning matlab

Last synced: 14 Apr 2025

https://github.com/ZhuoruLin/DSGA1003_ML

NYU Data Science Course DSGA-1003 Machine Learning Assignments.

machine-learning

Last synced: 26 Mar 2025

https://github.com/rightnow-ai/automegakernel

An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

agent-harness cuda gpu gpu-programming kernel-fusion llm-inference machine-learning megakernel mlsys

Last synced: 15 Jun 2026

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/olilarkin/iplug2onnxruntime

ML Audio plug-in example using iPlug2 & ONNX Runtime

audiounit auv3 ios iplug2 machine-learning onnxruntime vst

Last synced: 29 Apr 2025

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/apax-hub/apax

A flexible and performant framework for training machine learning potentials.

computational-chemistry force-fields interatomic-potentials jax machine-learning materials-science molecular-dynamics quantum-chemistry

Last synced: 23 Feb 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/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/tribbloid/shapesafe

SHAPE/S∀F∃: static prover/type-checker for N-D array programming in Scala, a use case of intuitionistic type theory

linear-algebra machine-learning program-verification scala shape-safety type-theory

Last synced: 10 Apr 2025

https://github.com/sumolari/hmm

A Hidden Markov Model implemented in Javascript

classification clustering hidden-markov-model machine-learning

Last synced: 22 Apr 2025

https://github.com/daisybio/drevalpy

DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.

bioinformatics drug-response-prediction machine-learning

Last synced: 21 Feb 2026

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/tsudalab/mdts

Materials Design by Monte Carlo Tree Search

machine-learning materials-design python-library

Last synced: 16 May 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/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/abacaj/transformers-docker

Run, build, test transformer models using docker

deep-learning docker machine-learning transformers

Last synced: 26 Feb 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/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/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/engineeringsoftware/teco

TeCo: an ML+Execution model for test completion

machine-learning ml4se test-completion testing

Last synced: 20 Jul 2025

https://github.com/indix/mlflow-gocd

GoCD plugins to work with MLFlow as model repository in a CD flow

continuous-delivery gocd machine-learning mlflow

Last synced: 11 Apr 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/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/iskandr/knnimpute

Python implementations of kNN imputation

imputation machine-learning missing-data statistics

Last synced: 09 Mar 2026

https://github.com/ysymyth/ec-nl

[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer

emergent-communication iclr iclr2022 language-model machine-learning natural-language-processing

Last synced: 23 Jul 2025

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/scikit-learn-contrib/denmune-clustering-algorithm

DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.

clustering deep-learning machine-learning python

Last synced: 10 Apr 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/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/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/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/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/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/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/sciml/modelingtoolkitneuralnets.jl

Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)

julia machine-learning neural-networks neural-ode sciml symbolic-numerics ude

Last synced: 11 Mar 2026

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/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/kasperskylab/knp

Kaspersky Neuromorphic Platform

cpp machine-learning ml neural-network python spiking

Last synced: 29 Jul 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/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/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/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/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/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/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/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/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/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/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/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/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/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