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/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/deepai-org/ai_integration

AI Model Integration for python

ai api machine-learning python python27 python3

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: 15 Jul 2025

https://github.com/georgeoshardo/SyMBac

Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.

biology deep-learning image-processing machine-learning microscopy segmentation synthetic-biology synthetic-data synthetic-dataset-generation

Last synced: 07 May 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/scrn-vrc/point-pillars-in-unitycg

Implementation of PointPillars paper in Unity for VRChat

machine-learning point-cloud pointpillars shaders unity3d vrchat

Last synced: 07 Mar 2026

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/incognito124/knarrow

Shoot a knarrow to the knee

elbow knee machine-learning optimization python python3

Last synced: 13 Apr 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/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/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/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/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/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/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/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/brakmic/data-science-for-losers

:chart_with_upwards_trend: Articles on Data Science, Jupyter, and Pandas

data-science jupyter machine-learning python

Last synced: 23 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/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/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/ethanthoma/zensor

Zig tensor library

machine-learning tensor zig zig-package

Last synced: 24 Jan 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/sanofi-public/cimpact

Causal inference library for timeseries analysis

advanced-analytics ai causal-inference impact machine-learning solutions time-series

Last synced: 01 Mar 2026

https://github.com/alessandro-nori/crypto_nn

Proof of concept for CryptoDL made for BigSec course @ EURECOM

homomorphic-encryption machine-learning neural-network

Last synced: 05 Mar 2026

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/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/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/sayan-maity/all-project-directory

List of all of my Projects πŸ‘¨β€πŸ’» πŸš€

machine-learning web-development

Last synced: 09 Mar 2025

https://github.com/hemangjoshi37a/personalgoalassistant

AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.

ai automation autonomous-agents computer-vision data-preprocessing deep-learning finance goal-setting machine-learning mimic natural-language-processing open-source personal-goals productivity python reinforcement-learning social-media user-data

Last synced: 12 Aug 2025

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/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/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/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/praful932/tf-rec

Tf-Rec is a pythonπŸ’» package for buildingβš’ 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/andriyadi/MaixPy-TrashClassifier

A simple trash/waste classifier developed using MaixPy (a MicroPython framework) to run on K210 MCU on Sipeed's Maix dev board

aiot image-classification k210 machine-learning maix maix-board maixpy micropython mobilenet sipeed

Last synced: 18 Mar 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/madrury/smoothers

Visualizations of various one-dimensional smoothers using the d3 javascript library.

curve-fitting javascript machine-learning plotting

Last synced: 24 Aug 2025

https://github.com/albincorreya/ml-training-airflow-mlflow-example

An example of setting up local audio ML training pipeline on Airflow with MLFlow experiment tracking and custom python library.

airflow audio-analysis keras-tensorflow machine-learning mlfow mlops

Last synced: 30 Jul 2025

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/llnl/selfsupervised

Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018

deep-learning machine-learning

Last synced: 23 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/boyanangelov/sdmbench

Benchmarking Species Distribution Models

benchmarking ecology machine-learning r sdm

Last synced: 14 Mar 2025

https://github.com/BhavyeMathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 30 Aug 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

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/memfuse/memfuse

Official Core Services for MemFuse - the lightning-fast open-source memory layer that gives LLMs persistent, queryable memory across conversations and sessions.

ai artificial-intelligence chatbot conversation-memory llm machine-learning memory openai persistent-memory python-sdk rag vector-database

Last synced: 16 Jan 2026

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/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/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/pasqal-io/qex

JAX-based differentiable Kohn-Sham Density Functional Theory implementation for training quantum(-enhanced) neural exchange-correlation functionals.

chemistry density-functional-theory machine-learning quantum quantum-computing

Last synced: 10 Mar 2026

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/alexsosn/associationbot

iOS association game chatbot. AI based on neural word embedding language model. Image recognition with convolutional neural net.

chatbot ios machine-learning natural-language-processing neural-network word2vec

Last synced: 31 Aug 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/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/google-research/active-adversarial-tests

Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

adversarial-attacks adversarial-examples machine-learning machinelearning robustness

Last synced: 24 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/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/dachosen1/common-voice

Audio Classification with machine learning

audio-processing machine-learning streaming-audio voice

Last synced: 20 Apr 2025

https://github.com/getindata/quickstart-ml-blueprints

Data science project development best practices and state of the art open-source tooling forged into a set of solved ML use cases to serve as blueprints for efficient prototyping.

data-science machine-learning

Last synced: 09 Apr 2025

https://github.com/atomicsulfate/meshcnn-4-cadseg

Improved MeshCNN for surface type segmention on realistic CAD models.

cad cnn deep-learning machine-learning mesh pytorch segmentation

Last synced: 21 Jul 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/krother/generative_art

Generating Art with Python and Numpy

art machine-learning numpy python

Last synced: 09 Apr 2025

https://github.com/rzykov/fastml4j

Fast Scala and nd4j based machine learning framework

machine-learning machine-learning-algorithms nd4j scala

Last synced: 14 Jan 2026

https://github.com/anushka23g/parkinson-disease-classification

A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis

dataset diagnosis machine-learning parkinson-disease voice

Last synced: 05 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/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/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/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/SCRN-VRC/Point-Pillars-in-UnityCG

Implementation of PointPillars paper in Unity for VRChat

machine-learning point-cloud pointpillars shaders unity3d vrchat

Last synced: 20 Mar 2025