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.
- GitHub: https://github.com/topics/machine-learning
- Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
- Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
- Last updated: 2026-07-10 00:18:27 UTC
- JSON Representation
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/pradyuman7/colour-learning
A simple machine learning webpage that understands & changes the text π 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/dermatologist/kedro-multimodal
Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.
healthcare jupyter kedro kubeflow machine-learning medical multi-modal pipeline vertex-ai
Last synced: 12 May 2025
https://github.com/sayakpaul/phishing-websites-detection
Experiments to detect phishing websites using neural networks
cybersecurity keras-tensorflow machine-learning neural-network phishing-attacks scikit-learn
Last synced: 07 Aug 2025
https://github.com/joisino/gnnrecover
Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)
deep-learning embeddings gnn graph-neural-networks machine-learning node-embeddings pytorch
Last synced: 11 Jul 2025
https://github.com/simula/datasets.simula.no
Public datasets published by Simula.
artificial-intelligence machine-learning open-datasets research
Last synced: 17 Jun 2026
https://github.com/jonathanrjpereira/Smart-Energy-Monitor
π Load Monitoring and Energy Disaggregation on a RasPi
appliance-level-consumption arduino electronics energy-consumption energy-disaggregation energy-monitor hardware machine-learning naive-bayes-classifier raspberry-pi smarthome
Last synced: 07 Apr 2025
https://github.com/burakince/mlflow
Mlflow Docker Image
ai docker docker-image machine-learning ml mlflow mlflow-docker mlflow-tracking mlflow-tracking-server model-management
Last synced: 17 Jan 2026
https://github.com/jh-jeong/smoothmix
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
adversarial-defense deep-learning machine-learning neurips-2021 paper randomized-smoothing robustness
Last synced: 15 Aug 2025
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/gabeorlanski/stackoverflow-encourages-cheating
Code for the NLP4Prog workshop paper "Reading StackOverflow Encourages Cheating: Adding Question TextImproves Extractive Code Generation"
acl2021 machine-learning natural-language-processing nlp nlp4prog python
Last synced: 22 Sep 2025
https://github.com/foxpace/besafebox_android_app
Fall detection Android app
acceleration collapse cpp-android fall-detection java-android keras kotlin-android machine-learning signal-processing sklearn tensorflow
Last synced: 09 Apr 2025
https://github.com/kozyrevsergey89/xsightandroiddevchallenge
#AndroidDevChallenge
androiddevchallenge camera hologram machine-learning social ssd-mobilenet tensorflow-lite
Last synced: 25 Feb 2025
https://github.com/pb2204/medical-insurance-cost-prediction
This Medical Insurance Cost Prediction AI Model Will Predict The Cost Of Any Medical Insurance With Around 84.26 % Accuracy...
ai artificial-intelligence hacktoberfest hacktoberfest-accepted jupyter-notebook machine-learning python streamlit streamlit-webapp
Last synced: 15 Apr 2025
https://github.com/pyriemann/pyriemann-qiskit
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
covariance-matrix machine-learning python qiskit quantum-computing riemannian-geometry
Last synced: 10 Mar 2026
https://github.com/howardyclo/nthu-machine-learning
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
adaboost assignment course-materials deep-learning deep-neural-networks machine-learning neural-network nthu support-vector-classifier support-vector-machines support-vector-regression svm svr
Last synced: 17 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/raphaelsty/abayes
Autoregressive Bayesian linear model
autoregressive bayes bayesian bayesian-inference linear-regression machine-learning online
Last synced: 11 Oct 2025
https://github.com/zht007/tensorflow-2.x-vs-pytorch-comparison-tutorials
Tensorflow 2.x ε PyTorch ε―Ήζ―ε¦δΉ ζη¨γε°ε©ζειζ©οΌζεΉ΄δΊΊε ¨ι½θ¦γ
deep-learning machine-learning neural-network pytorch tensorflow
Last synced: 10 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/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/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/tatevkaren/convolutional-neural-network-image_recognition_case_study
Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
case-study cnn cnn-for-visual-recognition cnn-model computer-vision convolutional-neural-networks deep-learning image-recognition keras machine-learning prediction python tensorflow tensorflow-tutorials
Last synced: 24 Oct 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/maciejkula/binge
Recommendation models that use binary rather than floating point operations at prediction time.
deep-learning learning-to-rank machine-learning matrix-factorization recommender
Last synced: 14 Jul 2025
https://github.com/truongnmt/smile-detection
Smile detection on GENKI4K dataset.
deep-learning image-classification jupyter-notebook machine-learning tensorflow
Last synced: 13 Jul 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/xaheli/predicting-indian-stocks-price-with-stacked-lstm
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm lstm-neural-networks machine-learning optimisation stock-price-prediction
Last synced: 12 Jul 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/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/neonwatty/bleep-that-shit
Automatically filter, censor, and replace profanity, swear words, curse words, or custom terms in audio and video with a beep or bleep sound effect. Built to self-host with Python, AI, Streamlit, and Docker. Free and open source.
artificial-intelligence audio-processing machine-learning python self-hosted youtube
Last synced: 18 Oct 2025
https://github.com/prateekiiest/titanic_survival_exploration
Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival
analysis hacktoberfest ipython-notebook machine-learning regression-models statistical-analysis titanic-survival udacity-machine-learning-nanodegree
Last synced: 28 Oct 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/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/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/ayush1999/keras.jl
Run keras models with a Flux backend
flux julia keras keras-models machine-learning models neural-networks sequential-models
Last synced: 29 Apr 2025
https://github.com/spaceml-org/missing-pixel-filler
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
aqua arxiv deep-learning keras machine-learning python remote-sensing satellite-imagery swath-gaps tensorflow terra uc-mercer-land uc-mercer-visualization
Last synced: 08 Jan 2026
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
π¨ 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/RuedigerVoigt/exoskeleton
A Python framework to build polite, but tenacious crawlers / scrapers with a MariaDB backend
crawler crawling-framework database machine-learning mariadb network python python-3 scraping
Last synced: 17 Apr 2025
https://github.com/onelearn/onelearn
Online machine learning methods
classification machine-learning online-learning-algorithms python random-forest regression
Last synced: 14 Jan 2026
https://github.com/thomas-bouvier/music-genre-recognition
Musical genre recognition using a CNN
cnn machine-learning music-classification
Last synced: 14 Aug 2025
https://github.com/amilworks/gandetection
Detecting GAN generated Images using Convolutional Neural Networks
computer-vision data-science deep-learning gans generative-adversarial-network image-classification machine-learning
Last synced: 03 Jul 2025
https://github.com/navdeep-g/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
accountability data-mining data-science decision-trees fairness fatml gradient-boosting-machine iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai
Last synced: 12 Mar 2026
https://github.com/iterative/example-repos-dev
Source code and generator scripts for example DVC projects
bash dvc example machine-learning open-source
Last synced: 10 Mar 2026
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/sbl-sdsc/mmtf-spark
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
apache-spark big-data machine-learning protein-data-bank protein-ligand-interactions protein-protein-interaction protein-sequences protein-structure scientific-computing
Last synced: 12 Apr 2025
https://github.com/johnsmithm/handwritten-sequence-tensorflow
Tensorflow implementation of handwritten sequence of small letters recognition.
bidirectional-lstm-cells convolutional-neural-networks deep-learning deep-neural-networks handwriting-ocr handwritten-text-recognition machine-learning python tensorflow
Last synced: 12 Apr 2025
https://github.com/ekinakyurek/knetlayers.jl
Useful Layers for Knet
computer-vision deep-learning machine-learning nlp
Last synced: 22 Aug 2025
https://github.com/getspams/spams-python
Python interface for SPAMS (SPArse Modeling Software)
machine-learning optimization python
Last synced: 16 Jan 2026
https://github.com/adi-code22/trawell-app
your Smart travel buddy, powered by AI. A tourist guide which aids in easy navigation, communication and guidance throughout the journey.
flutter location-services machine-learning
Last synced: 30 Aug 2025
https://github.com/seonghwanseo/openpharmaco
Open-source protein-based pharmacophore modeling software
deep-learning drug-discovery machine-learning pharmacophore-modelling protein-based-pharmacophore-modelling virtual-screening
Last synced: 14 May 2025
https://github.com/code2k13/rpipico_digit_classification
Identification of handwritten digitΒ from images taken byΒ aΒ OV7670 camera moduleΒ connected toΒ a Raspberry Pi Pico andΒ a 120x160 TFT LCD display. The Pi Pico running CircuitPython handles everything from image acquisition to post-processing and inference. This code is somewhat experimental, but it is fun to play with. For more information, pleaseΒ visit the project's webpage.
artificial-intelligence camera circuitpython edge-computing edge-machine-learning image-recognition machine-learning ov7670 python raspberry-pi-pico rp2040 scikitlearn-machine-learning st7735r tft-display
Last synced: 29 Aug 2025
https://github.com/farzinkh/partial_discharge
This repository maintain codes and logs for "Partial Discharge Localization in Power Transformer Tanks Using Machine Learning Methods" article.
3d-models article deep-learning machine-learning partial-discharge-localization signal-processing transfer-learning
Last synced: 01 May 2025
https://github.com/radtorch/radtorch
Official repository for RADTorch - The Medical Imaging Machine Learning Framework
ai classification convolutional-neural-networks deep-learning dicom gpu image-classification image-classifier kit machine machine-learning medical-imaging neural-networks pydicom python pytorch radiology radiology-machine-learning rsna sklearn
Last synced: 28 Jun 2025
https://github.com/daedalus/misc
misc scripts
aes android bitcoin bitshuffling compression crypto cryptography cve hash hashing kdbx luks machine-learning mmap performance qrcode rc4 shodan totp zram
Last synced: 14 Apr 2025
https://github.com/becxer/pytrain
Machine Learning library for python
apriori clustering crf dbscan decision-trees feedforward-neural-network hmm kmeans knn linear-regression logistic-regression machine-learning naive-bayes neural-network numpy pattern-recognition python svm
Last synced: 09 Apr 2026
https://github.com/lucko515/search-book-by-cover-server
This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.
content-based-image-retrieval deep-learning end-to-end-machine-learning flask machine-learning tensorflow
Last synced: 14 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/mcarlomagno/fluttermobilenet
π¦Ύπ€ Mobilenet model implementation for image classification using the tflite library, a Flutter plugin for accessing TensorFlow Lite API.
artifficial-intelligence dart flutter image-classification machine-learning mobilenets tensroflow
Last synced: 28 Jun 2025
https://github.com/18D070001/Electrical-Devices-Identification-Model
Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.
colab-notebook electrical feature-engineering feature-extraction machine-learning nilm nilm-algorithms python-3 signal-processing
Last synced: 06 Apr 2025
https://github.com/rubydamodar/the-ultimate-pandas-bootcamp
Welcome to the Pandas for Data Science repository! This course is designed to take you from beginner to proficient in using Pandas, the powerful data manipulation library in Python. Whether you're just starting your data science journey or looking to sharpen your skills, this repository contains all the resources
beginner-friendly csv-data data-analysis data-cleaning data-manipulation data-science data-visualization dataframe exploratory-data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python python-pandas series statistical-analysis time-series titanic-dataset
Last synced: 19 Apr 2025
https://github.com/casperkristiansson/elements-of-ai-building-ai
All exercises for the course Elements of AI - Building AI
bayes-classifier bayes-rule building-ai deep-learning elements-of-ai hill-climbing linear-regression linear-regression-models logistic-regression machine-learning naive-bayes naive-bayes-algorithm naive-bayes-classifier nearest-neighbor-search neural-networks overfitting probability-fundamentals
Last synced: 01 Sep 2025
https://github.com/sircamp/kaggle-breast-cancer-prediction
Different approaches as (ANN,DecisionTree,Bayes and KNeighbors) to solve and predict with the best accuracy malignous cancers
kaggle-competition machine-learning machine-learning-algorithms sklearn
Last synced: 15 May 2025
https://github.com/wangkua1/vmi
Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
generative-models machine-learning model-inversion privacy-attacks
Last synced: 27 Jul 2025
https://github.com/knorth55/chainer-sort
Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
chainer chainercv computer-vision deep-learning machine-learning object-tracking python
Last synced: 15 Apr 2025
https://github.com/BojarLab/CandyCrunch
Predicting glycan structure from LC-MS/MS data
bioinformatics glycans machine-learning mass-spectrometry python
Last synced: 28 Sep 2025
https://github.com/alexcg1/easy_text_generator
Generate text from machine-learning models right in your browser
machine-learning nlp python streamlit
Last synced: 14 Sep 2025
https://github.com/edrubin/ec524w22
Masters-level applied econometrics courseβfocusing on predictionβat the University of Oregon (EC424/524 during Winter quarter, 2022) Taught by Ed Rubin
course data-science econometrics machine-learning prediction university
Last synced: 04 Jan 2026
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/manekinekko/photobooth
Online Photo Booth app with 25+ built-in filters and Machine Learning Style Transfer features πΈ
angular azure facetracking glsl hacktoberfest machine-learning shaders tensorflow typescript webgl
Last synced: 15 Apr 2025
https://github.com/gyrdym/ml_preprocessing
Implementation of popular data preprocessing algorithms for Machine learning
data-preprocessing data-science machine-learning machine-learning-algorithms onehot-encoder ordinal-encoder
Last synced: 21 Mar 2025
https://github.com/unpackai/unpackai
The Unpack.AI library
artificial-neural-networks deep-learning educational machine-learning python
Last synced: 18 Mar 2025
https://github.com/OGFris/GoStats
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
data-science go golang gostats machine-learning math mathematics mit-license statistical-measures statistics stats
Last synced: 14 Mar 2025
https://github.com/ksachdeva/tiny-imagenet-tfds
tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api
dataset imagenet imagenet-classification-challenge machine-learning tensorflow tensorflow-data tensorflow-datasets tiny-imagenet-challenge tiny-imagenet200
Last synced: 08 May 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
Last synced: 11 Apr 2025
https://github.com/sinanuozdemir/oreilly-transformers-nlp-mlops
Session on MLOps
data-science deep-learning machine-learning mlops natural-language-processing nlp python transformers
Last synced: 24 Feb 2025
https://github.com/allisterb/classifybot
Automate building ML classification pipelines in .NET
data-engineering dotnet machine-learning
Last synced: 11 Apr 2025
https://github.com/Akai01/caretForecast
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
caret conformal-prediction data-science econometrics forecast forecasting forecasting-models machine-learning macroeconometrics microeconometrics r time-series time-series-forcasting time-series-prediction
Last synced: 11 May 2025
https://github.com/anjohan/neuralnetwork
Simple, parallel, object-oriented Fortran neural network
coarray-fortran fortran machine-learning neural-network
Last synced: 07 Feb 2026
https://github.com/umitkaanusta/mactahminbotu
A bot that provides soccer predictions using Poisson regression
betting bot bots football football-data gambling machine-learning poisson poisson-regression soccer soccer-data soccer-predictions sport sports sports-analytics sports-betting telegram telegram-bot
Last synced: 05 May 2025
https://github.com/mhw32/rubric-sampling-public
PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).
deep-learning education machine-learning programming zero-shot-learning
Last synced: 14 Apr 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/aydinnyunus/ur-ai
Create Your AI ChatBot and Connect it to the Whatsapp !
artificial-intelligence bot bots chat chatbot chatbot-application chatbots deep-learning machine-learning python python-3 python3 selenium selenium-python selenium-webdriver series silicon-valley whatsapp whatsapp-chat whatsapp-web
Last synced: 12 Apr 2025
https://github.com/primaprashant/ai-customer-support
π Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.
ai applied-data-science applied-machine-learning applied-ml artificial-intelligence customer-service customer-support data-science deep-learning machine-learning natural-language-processing nlp paper production tech-blog
Last synced: 10 Feb 2026
https://github.com/nesl/auritus
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
activity-recognition bayesian-optimization deep-learning deep-neural-networks earable end-to-end filters framework headpose headpose-estimation human-activity-recognition hyperparameter-optimization inertial-sensors machine-learning neural-architecture-search neural-network tensorflow-lite-micro tinyml ubiquitous-computing wearable-computing
Last synced: 23 Jan 2026
https://github.com/hiteshsahu/android-machine-learning-with-tensorflow
Tensor Flow implementation for Android
android android-o deep-learning machine-learning tensorflow tensorflow-examples tensorflow-experiments tensorflow-models
Last synced: 24 Oct 2025
https://github.com/smith42/xdf-gan
A GAN for the generation of mock astronomical surveys
astronomy deep-learning gan machine-learning
Last synced: 27 Oct 2025
https://github.com/mlr-org/bbotk
Black-box optimization framework for R.
bbotk black-box-optimization data-science hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 optimization r r-package
Last synced: 28 Feb 2026
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/kotlinnlp/neuralparser
NeuralParser is a very simple to use dependency parser, based on the Latent Syntactic Structure encoding.
dependency-parser kotlinnlp machine-learning natural-language-processing
Last synced: 14 Jan 2026
https://github.com/benedekrozemberczki/fscnmf
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model
Last synced: 11 Apr 2025
https://github.com/flyteorg/flytekit-python-template
CookieCutter template for getting started with Flyte python projects
cookiecutter cookiecutter-template data-science docker extensible flyte flytekit-python getting-started machine-learning project-structure python3
Last synced: 26 Apr 2025
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.
Last synced: 11 Jan 2026
https://github.com/adityashrm21/deep-learning-algorithms-implementation
Implementations of (Deep Learning + Machine Learning) Algorithms
algorithm decision-tree decision-trees deep-learning deep-learning-algorithms implementation implementation-of-algorithms jupyter-notebook keras linear-regression logistic-regression machine-learning multilayer-perceptron neural-networks pytorch restricted-boltzmann-machine tensorflow
Last synced: 29 Apr 2025
https://github.com/blakejakopovic/nostr-spam-detection
An experiment in building a machine learning model to label Nostr spam content for filtering and relay rejection.
machine-learning nostr proof-of-concept spam-detection spam-filtering
Last synced: 18 Jan 2026
https://github.com/qbarthelemy/pypermut
Python package for permutation tests, for statistics and machine learning.
machine-learning multiple-comparisons nonparametric-tests permutation-test post-hoc python scientific-computing statistics
Last synced: 19 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/getcontrol/kyc-tensorflow
Consume custom TensorFlow model to automate KYC
flask jupyter-notebook machine-learning python3 tensorflow tensorflow-examples
Last synced: 23 Apr 2025