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/neonwatty/control-notes

Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning

automatic-control deep-learning dynamic-programming dynamic-systems jupyter-notebook machine-learning python recurrent-neural-networks reinforcement-learning

Last synced: 18 Mar 2025

https://github.com/scienxlab/redflag

Safety net for machine learning pipelines. Plays nice with sklearn and pandas.

data-quality data-quality-checks data-science machine-learning numpy pandas python

Last synced: 06 Oct 2025

https://github.com/hollance/sefr-swift

The SEFR classifier implemented in Swift

classifier machine-learning machine-learning-algorithms swift

Last synced: 25 Mar 2025

https://github.com/szilard/gbm-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/etsi-ai/etsi-watchdog

Real-time data drift detection and monitoring for machine learning pipelines.

drift-detection machine-learning python

Last synced: 10 Oct 2025

https://github.com/zahidkhawaja/gophy

AI-powered CLI tool to help you remember bash commands. Ported to Go.

go golang gpt-3 hacktoberfest language-model machine-learning openai

Last synced: 10 Jul 2025

https://github.com/mage-ai/machine_learning

The definitive end-to-end machine learning (ML lifecycle) guide and tutorial for data engineers.

artificial-intelligence data-engineering machine-learning

Last synced: 14 Jul 2025

https://github.com/qainsights/streamlit-jmeter

Powering up Apache JMeter with Streamlit and opening the door for machine learning.

jmeter jmeter-charts jmeter-streamlit machine-learning python streamlit

Last synced: 05 May 2025

https://github.com/uber-research/vargp

Variational Auto-Regressive Gaussian Processes for Continual Learning

continual-learning gaussian-processes machine-learning

Last synced: 11 Apr 2025

https://github.com/PapayaResearch/ctag

Creative Text-to-Audio Generation via Synthesizer Programming @ ICML'24

generative-ai jax machine-learning synthesizer text-to-audio

Last synced: 07 May 2025

https://github.com/achillesrasquinha/digdet

A realtime digit OCR on the browser using Machine Learning

deep-learning keras machine-learning mnist neural-networks ocr

Last synced: 06 May 2025

https://github.com/parvvaresh/snappfood

sentiment analysis on Snapp!food users' comments using classical machine learning models and LSTM mdoels

css deeplearning docker flask html lstm machine-learning ml natural-language-processing nlp

Last synced: 23 Jun 2025

https://github.com/rubydamodar/loan-approval-prediction-

Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

ai-in-finance banking classification classification-internal credit-risk data-science exploratory-data-analysis feature-engineering financial-analytics loan-approval machine-learning matplotlib pandas predictive-modeling python scikit-learn seaborn visualization

Last synced: 17 Jul 2025

https://github.com/julian-parker/dafx22_fno

Code associated with the paper "Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers"

audio-synthesis machine-learning physical-modeling

Last synced: 12 Apr 2025

https://github.com/dennishnf/unsupervised-anomaly-detection

This repository describes the implementation of an unsupervised anomaly detector using the Anomalib library.

anomaly-detection artificial-intelligence computer-vision deep-learning machine-learning neural-networks object-detection python torch

Last synced: 14 Jul 2025

https://github.com/borchero/pyblaze

Large-Scale Machine and Deep Learning in PyTorch.

deep-learning machine-learning pytorch

Last synced: 01 May 2025

https://github.com/unitn-sml/pyconstruct

Python library for declarative, constrained, structured-output prediction.

constraint-programming jinja2 machine-learning minizinc structured-prediction

Last synced: 08 May 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: 21 Feb 2026

https://github.com/levnikmyskin/that_metric_timeline

That Metric Timeline (TMT) is a Python library aimed at the machine/deep learning practitioner/researcher. It helps tracking experiments, saving code, metrics and results

deep-learning machine-learning python utility-library

Last synced: 14 Jan 2026

https://github.com/code-kern-ai/embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.

classification machine-learning named-entity-recognition natural-language-processing ner nlp python representation-learning similarity-search

Last synced: 24 Apr 2025

https://github.com/elysian01/impulse-lifesaviour

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

breast-cancer chronic-kidney-disease covid-19 disease-prediction flask-application heart-disease machine-learning medical-diagnostics prediction

Last synced: 15 Nov 2025

https://github.com/borgwardtlab/wtk

A Wasserstein Subsequence Kernel for Time Series.

data-mining machine-learning optimal-transport time-series-classification

Last synced: 11 Jul 2025

https://github.com/fangwei123456/pixelunshuffle-pytorch

PixelUnshuffle, inverse operation of PixelShuffle

computer-vision machine-learning pytorch super-resolution

Last synced: 14 Apr 2025

https://github.com/beiyuouo/fedhf

πŸ”¨ A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

distributed-machine-learning federated-learning federated-learning-framework fedhf machine-learning python

Last synced: 19 Apr 2025

https://github.com/ai-infra-curriculum/ai-infra-performance-learning

AI Infrastructure Performance Engineer Learning Track - GPU optimization, inference optimization, and cost reduction

advanced ai-infrastructure cost-optimization curriculum gpu-optimization inference learning machine-learning performance profiling tensorrt

Last synced: 10 Jun 2026

https://github.com/prashant0598/face-recognition

Face Recognition Project made in Machine Learning using KNN algorithm and open cv for python

face-detection knn-classification machine-learning

Last synced: 16 Jun 2025

https://github.com/buabaj/xplore

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

artificial-intelligence data-preprocessing data-science data-wrangling machine-learning

Last synced: 12 Apr 2025

https://github.com/databio/geniml

Genomic interval machine learning

genomic-intervals machine-learning representation-learning

Last synced: 17 Jan 2026

https://github.com/aayank13/ml4e

ML4E - Learn and master machine learning effortlessly with a comprehensive platform designed for collaboration and growth.

community machine-learning swoc swoc2025 website

Last synced: 12 May 2025

https://github.com/sametcopur/obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

decision-tree explainable-ai machine-learning oblique-decision-tree

Last synced: 31 Oct 2025

https://github.com/dhruvdcoder/wandb-allennlp

Utilities and boilerplate code to use wandb with allennlp

allennlp deep-learning machine-learning sweep wandb

Last synced: 11 Sep 2025

https://github.com/hoangsonww/moodify-emotion-music-app

🎹 Moodify - an emotion-based music recommendation system that uses AI/ML models to analyze text, speech, and facial expressions, providing personalized music recommendations across web and mobile platforms.

artificial-intelligence django django-rest-framework emotion fullstack-development hadoop kubernetes machine-learning mobile-development mongodb music python pytorch react-native reactjs redis restful-api spark tensorflow torch

Last synced: 23 Apr 2025

https://github.com/CarterMcClellan/supercontrast-legacy

Find the best ML model for your use case | Y Combinator Fall 2024

ai aws aws-sdk azure gcp machine-learning ycombinator

Last synced: 22 Mar 2025

https://github.com/pradyuman7/colour-learning

A simple machine learning webpage that understands & changes the text 🌈 according to the background.

artificial-intelligence changing-colorschemes colours javascript machine-learning neural-network rgb-color webpage website

Last synced: 17 Mar 2026

https://github.com/longxingtan/python-profeld

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

data-science machine-learning predictive-maintenance profeld remaining-useful-life survival-analysis tensorflow time-to-event time-to-failure weibull-distribution

Last synced: 17 Sep 2025

https://github.com/agiflow/agiflow-sdks

LLM QA, Observability, Evaluation and User Feedback

agents llm-agent llm-evaluation llmops llms machine-learning python typescript

Last synced: 02 Mar 2026

https://github.com/314arhaam/burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

burgers-equation deep-learning machine-learning neural-network physics-informed-neural-networks

Last synced: 08 Jun 2026

https://github.com/morphl-ai/morphl-model-user-search-intent

Google Cloud Storage connector, pre-processor and model for predicting user search intent based on keywords

ingestion-pipeline machine-learning morphl-platform nlp-machine-learning predict preprocessor pyspark

Last synced: 03 May 2025

https://github.com/openvax/pepnet

Neural networks for amino acid sequences

biological-data-analysis machine-learning neural-networks protein-sequences

Last synced: 27 Dec 2025

https://github.com/sukanyabag/covid19-detection-using-x-rays-webapp

In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.

convolutional-neural-networks covid-19 deep-learning flask-application kaggle-dataset keras-tensorflow machine-learning

Last synced: 24 Apr 2025

https://github.com/mr-easy/badminton-stroke-classification

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

badminton-stroke-classification data-analysis data-analytics data-science deep-learning machine-learning model-evaluation notebook project time-series-analysis tutorial

Last synced: 31 Aug 2025

https://github.com/bartczernicki/ArtificialIntelligence-Presentations

Public location of delivered Artificial Intelligence & Machine Intelligence Presentations

analytics artificial-intelligence data-science machine-learning

Last synced: 18 Apr 2025

https://github.com/jleinonen/cloudsat-gan

Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network

atmospheric-science climate-science deep-learning generative-adversarial-network machine-learning

Last synced: 25 Mar 2025

https://github.com/rcarmo/azure-toolbox

A Docker container with Azure Resource Manager administration tools and a machine/deep learning stack

azure cntk deep-learning machine-learning tensorflow toolbox vnc-server

Last synced: 23 Mar 2025

https://github.com/ccao-data/model-res-avm

Automated valuation model for all class 200 residential properties in Cook County (except vacant land and condos)

assessment data-science machine-learning model property-taxes r res tidymodels

Last synced: 10 Mar 2026

https://github.com/theroyakash/adam

Implementation of Adam Optimization algorithm using Numpy

adam-optimizer algorithms deep-learning machine-learning numpy numpy-neural-network python3

Last synced: 12 Apr 2025

https://github.com/muxamilian/poor-mans-vr

Watch videos in VR using only your front camera + tensorflow.js

computer-vision machine-learning virtual-reality

Last synced: 14 Apr 2025

https://github.com/nasa/concept-tagging-api

Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`.

api concept-tag flask-application machine-learning nasa nasa-api nlp nlp-machine-learning usg-artificial-intelligence

Last synced: 26 Jan 2026

https://github.com/52fhy/deep-learning-platforms

deep-learning platforms,framework,dataοΌˆζ·±εΊ¦ε­¦δΉ εΉ³ε°γ€ζ‘†ζžΆγ€θ΅„ζ–™οΌ‰

brainstorm caffe chainer deep-learning di-x machine-learning neural-network paddlepaddle tensorflow torch

Last synced: 01 May 2025

https://github.com/bminixhofer/tokenkit

A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.

distillation jax llms machine-learning tokenization tokenizer-transfer transfer-learning

Last synced: 15 May 2025

https://github.com/kevalmorabia97/naive-bayes-text-classifier-in-java

Naive Bayes Classification used to classify movie reviews as positive or negative

java machine-learning naive-bayes-classifier text-classification

Last synced: 10 Jul 2025

https://github.com/takashiishida/irreducible

[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

machine-learning

Last synced: 11 Apr 2025

https://github.com/silenceoverflow/cs-learning-resources

Learning Resources for Those New to Computer Science

algorithm computer-science machine-learning mooc programming

Last synced: 12 Apr 2025

https://github.com/gaelfoppolo/coreml-flowers

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

coreml coreml-framework coremltools flowers ios machine-learning swift

Last synced: 11 Apr 2025

https://github.com/augus1999/bayesian-flow-network-for-chemistry

ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.

bayesian-flow-networks cheminformatics chemistry generative-model machine-learning molecular-modeling qsar qspr transformer

Last synced: 10 Apr 2025

https://github.com/amikos-tech/chromadb-data-pipes

ChromaDB Data Pipes πŸ–‡οΈ - The easiest way to get data into and out of ChromaDB

ai chromadb machine-learning ml mlops pipeline

Last synced: 01 Apr 2026

https://github.com/lanl/pydnmfk

Python Distributed Non Negative Matrix Factorization with custom clustering

cupy distributed-computing hpc latent-features machine-learning mpi4py nccl nonnegative-matrix-factorization outofmemory python tensorfactorization

Last synced: 12 Apr 2025

https://github.com/intel/transfer-learning

Libraries and tools to support Transfer Learning

ai deep-learning machine-learning pytorch tensorflow

Last synced: 11 Mar 2026

https://github.com/edaaydinea/365-days-of-code-2022

This coding challenge is created by Eda AYDIN. This coding challenge aims to progress from Python programming to Computer Vision, Natural Language Processing in Artificial Intelligence and Neuroscience.

artificial-intelligence coding-challenges computer-science computer-vision data-science deep-learning machine-learning natural-language-processing neuroscience python

Last synced: 11 Apr 2025

https://github.com/bdwilliamson/vimpy

Perform inference on algorithm-agnostic variable importance in Python

machine-learning nonparametric-statistics statistical-inference variable-importance

Last synced: 14 Jan 2026

https://github.com/tomzx/machine-learning-concept-map

The Machine Learning Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about machine learning over the years.

concept-map machine-learning

Last synced: 11 Jan 2026

https://github.com/BobLd/YOLOv3MLNet

Use the YOLO v3 (ONNX) model for object detection in C# using ML.Net

computer-vision csharp dotnet machine-learning ml ml-net neural-network object-detection onnx onnx-torch python yolo yolov3

Last synced: 20 Apr 2025

https://github.com/ahammadmejbah/ahammadmejbah

Data Science || Machine Learning || Deep Learning || Computer Vision || NLP Enthusiast Talks about #datascience, #deeplearning, #dataanalytics, #machinelearning, and #machinelearningalgorithms

artificial-intelligence computer-vision data-science deep-learning machine-learning nlp python

Last synced: 27 Apr 2025

https://github.com/fabio-sim/docshadow-onnx-tensorrt

ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT πŸš€

coreml deep-learning docshadow document-shadow-removal machine-learning onnx onnxruntime pytorch shadow-removal tensorrt

Last synced: 07 May 2025

https://github.com/elliotwutingfeng/spamdexingsites

URL feed for blocking spamdexing websites. Let's banish them to the rubbish bin where they belong!

adblock blocklist content-farm dnsbl machine-learning malvertising malware osint pfblockerng pihole spam ublacklist

Last synced: 29 Apr 2025

https://github.com/nxr-deen/ai-chatbot

AI Chatbot in HTML CSS & JavaScript

ai chat chatbot chatgpt css gemeni generate html javascript js machine-learning

Last synced: 23 Apr 2025

https://github.com/bhky/targetran

Python library for data augmentation in object detection or image classification model training

data-augmentation image-classification machine-learning object-detection pytorch tensorflow2

Last synced: 17 Mar 2025

https://github.com/inab/biolitmap

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

data-mining data-science data-visualization machine-learning maps natural-language-processing research research-paper science social-analytics-team

Last synced: 22 Apr 2025

https://github.com/getcontrol/kyc-tensorflow

Consume custom TensorFlow model to automate KYC

flask jupyter-notebook machine-learning python3 tensorflow tensorflow-examples

Last synced: 23 Apr 2025

https://github.com/alexisbalayre/uk-resume-llm

Resume Insight: Fine-Tuning LLM for Resume Analysis

fine-tuning llm machine-learning nlp

Last synced: 19 Apr 2025

https://github.com/techtonique/nnetsauce

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

deep-learning machine-learning neural-networks quasi-randomized statistical-learning

Last synced: 21 Oct 2025

https://github.com/niyiyu/pnw-ml

A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

dataset machine-learning seismology

Last synced: 25 Oct 2025

https://github.com/otonomee/streamstem

Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.

audio-classification deep-learning demucs fastapi machine-learning source-separation spotify-stemmer youtube-stemmer

Last synced: 26 Oct 2025

https://github.com/dgac/acropole

This repository contains the Acropole model for aircraft fuel flow prediction and Python packages for aircraft trajectory processing and fuel flow enhancement.

air-traffic-management aircraft-performance artificial-intelligence environment machine-learning

Last synced: 16 Mar 2026

https://github.com/hand10ryo/PyTorchCML

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 29 Apr 2025

https://github.com/jernejk/mlsample.simpletransactiontagging

This is an simple example of tagging bank transactions with ML.NET

automl blazor-application classification machine-learning ml-net

Last synced: 26 Jun 2025