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/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/ethanthoma/zensor

Zig tensor library

machine-learning tensor zig zig-package

Last synced: 24 Jan 2026

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/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/vpn1997/2048-ai

Bot playing 2048

game-theory machine-learning

Last synced: 18 Oct 2025

https://github.com/adilsaid64/reddit-project

A reddit sentiment analysis application. Allows users to search for a subreddit and get a sentiment report of the overall subreddit and posts within the subreddit. Built using streamlit.

aws machine-learning nlp reddit s3 sentiment-analysis streamlit webapp

Last synced: 28 Feb 2026

https://github.com/divinemonk/hackgpt

HackGPT is a collective one place resource project that reverse engineers ChatGPT to unleash it's full potential for creating smarter, more human-like experience. It's open for collaboration and contributions from developers and researchers, with a focus on legal and ethical use.

ai all-in-one artificial-intelligence bug-bounty chatgpt developers ethical-hacking hackers hackgpt machine-learning open-source prompt-engineering resources

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/ozguraslank/flexml

Easy-to-use and flexible AutoML library for Python

automl data-science machine-learning python scikit-learn

Last synced: 18 Jul 2025

https://github.com/BojarLab/SweetNet

Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]

bioinformatics glycans glycobiology machine-learning

Last synced: 21 Jul 2025

https://github.com/thalesgroup/pythagore-mod-reco

Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models

data-augmentation deep-learning deep-neural-network machine-learning modulation-classification modulation-recognition radio

Last synced: 17 Mar 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/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/soskek/variational_dropout_sparsifies_dnn

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

chainer deep-learning icml machine-learning neural-network

Last synced: 13 Oct 2025

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/geyang/params-proto

params_proto, a collection of decorators that makes shell argument passing declarative

cli-parsing hyper-parameter machine-learning

Last synced: 01 Feb 2026

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/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/chembl/chembl_multitask_model

Target prediction multitask neural network, with examples running it in Python, C++, Julia and JS

cheminformatics chemistry machine-learning

Last synced: 11 Feb 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/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/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/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/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/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/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/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/scicloj/metamorph.ml

Machine learning functions for metamorph based on machine learning pipelines

machine-learning

Last synced: 20 Aug 2025

https://github.com/991o2o9/smart-cardiologist

Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

api artificial-intelligence data-science fastapi healthcare healthcare-technology heart-disease machine-learning medical-ai medical-diagnosis prediction predictive-analytics pydantic python rest-api scikit-learn swagger uvicorn

Last synced: 30 Aug 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/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/hi-paris/xper

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

explainability interpretability machine-learning performance-metrics shap shapley-value

Last synced: 09 Apr 2026

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/dynamicslab/multiarm-pendulum

This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.

double-pendulum hardware-designs machine-learning open-source-data pendulum single-pendulum system-identification triple-pendulum

Last synced: 30 Apr 2025

https://github.com/xiaorancs/business-exit-risk-forecast

企业经营退出风险预测,二分类问题

machine-learning python xgb

Last synced: 15 Jun 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/praful932/tf-rec

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

deep-learning keras machine-learning machine-learning-algorithms matrix-factorization python python-library recommendation-system recommender-system svd svdplusplus svdpp tensorflow

Last synced: 03 Oct 2025

https://github.com/adgaudio/o-medal

O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.

active-learning deep-learning diabetic-retinopathy-detection machine-learning medical-image-analysis online-learning

Last synced: 30 Apr 2025

https://github.com/mtpatter/mlflow-tutorial

Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.

data-science machine-learning mlflow mlflow-docker mlops tutorial

Last synced: 04 May 2025

https://github.com/VirtualScenery/greenscreenstream

Generate MediaStreams for Canvas & Video elements based on MediaStream and a background using pure shaders and / or machine-learning. Just using JavaScript/Typescript. Renders in browser

canvas greenscreen machine-learning mediastream mediastream-api shaders tensorflow usermedia webgl2 webrtc

Last synced: 20 Jun 2026

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

Python library to share machine learning models easily and reliably.

git machine-learning model registry sharing

Last synced: 05 May 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/barisyazici/tum_masters_thesis

Master's thesis in Computer Science at Technical University of Munich. Written in latex.

deep-learning latex machine-learning thesis

Last synced: 09 Apr 2025

https://github.com/ultralytics/wave

WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.

deep-neural-networks machine-learning physics-analysis scintillation sipm time-of-flight

Last synced: 25 Apr 2025

https://github.com/drscotthawley/vibrary

Vibrary is a GUI client for a user-trainable neural network tool to help producers find audio files on their hard drives

audio cplusplus gui juce machine-learning python

Last synced: 24 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/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/mlr-org/mlr3-learndrake

Template for using mlr3 with drake

drake machine-learning mlr3 r reproducibility workflow

Last synced: 15 Mar 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/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/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 22 Apr 2025

https://github.com/michellebonat/fed_funds_ml

Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Federal Reserve Bank - meetings minutes.

ai federal-reserve-bank finance financial-services machine-learning nlp python3

Last synced: 22 Apr 2025

https://github.com/dachosen1/common-voice

Audio Classification with machine learning

audio-processing machine-learning streaming-audio voice

Last synced: 20 Apr 2025

https://github.com/vidursatija/tf-hack2.0

⚡#PoweredByTF 2.0 Challenge! [ /w @inishchith ]

cv green-app hackathon javascript machine-learning python python3 tensorflow

Last synced: 02 Sep 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/tdspora/syngen

Open-source version of the TDspora synthetic data generation algorithm.

generation machine-learning synthetic-data tabular-data

Last synced: 09 Jun 2026

https://github.com/sunnynguyen-ai/fraud-detection-system

Real-time fraud detection system using ensemble ML models, featuring streaming data processing, explainable AI with SHAP, and production-ready deployment with FastAPI and Docker.

data-science docker ensemble-models fastapi feature-engineering fraud-detection machine-learning mlops production-ml python random-forest real-time-ml shap streamlit xgboost

Last synced: 04 May 2026

https://github.com/kachayev/dataclasses-tensor

Easily serialize dataclasses to and from tensors (PyTorch, NumPy)

ai machine-learning numpy pytorch tensor

Last synced: 12 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: 15 Jul 2025

https://github.com/gsurma/twitter_data_parser

Python scripts that download metadata and tweets for given users.

data machine-learning parser python python2 twitter twitter-api

Last synced: 20 Jul 2025

https://github.com/maxim5/cs224n-2020-winter

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs224n deep-learning machine-learning nlp stanford-nlp

Last synced: 20 Jul 2025

https://github.com/jalajthanaki/cheat_sheets_of_python_libraries

This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.

cheat-sheets datascience deep-learning machine-learning python

Last synced: 14 May 2025

https://github.com/xyjigsaw/machine-learning-navigation

🎲OmegaXYZ.com机器学习的文章目录

artificial-intelligence machine-learning

Last synced: 14 Apr 2025

https://github.com/vivek3141/rubiks-cube-ai

Using Deep Reinforcement Learning, a computer program learns how to solve the Rubik's Cube, the world's most popular toy.

machine-learning q-learning reinforcement-learning rubiks-cube

Last synced: 14 Mar 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/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