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/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/ahmetfurkandemir/trendyol-smartphone-price-prediction
Trendyol Smartphone Price Prediction
aws aws-ec2 data datascience flask flask-api linear-regression machine-learning python scikit-learn trendyol
Last synced: 14 Oct 2025
https://github.com/ethanthoma/zensor
Zig tensor library
machine-learning tensor zig zig-package
Last synced: 24 Jan 2026
https://github.com/haghish/shapley
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
class-imbalance class-imbalance-problem feature-extraction feature-importance feature-selection machine-learning machine-learning-algorithms shap shap-analysis shap-values shapely shapley-additive-explanations shapley-decomposition shapley-value shapley-values shapleyvalue weighted-shap weighted-shap-confidence-interval weighted-shapley weighted-shapley-ci
Last synced: 21 Feb 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/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/devinterview-io/recommendation-systems-interview-questions
🟣 Recommendation Systems interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
ai-interview-questions coding-interview-questions coding-interviews data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions recommendation-systems recommendation-systems-interview-questions recommendation-systems-questions recommendation-systems-tech-interview software-engineer-interview technical-interview-questions
Last synced: 08 Jan 2026
https://github.com/shimantorahman/empulse
Value-driven and cost-sensitive analysis for scikit-learn
cost-sensitive cost-sensitive-learning data-science machine-learning profit-driven profit-driven-analytics python scikit-learn sklearn value-driven value-driven-analytics
Last synced: 12 Oct 2025
https://github.com/tirthajyoti/rl_basics
Basic Reinforcement Learning algorithms
artificial-intelligence machine-learning machine-learning-algorithms policy-iteration q-learning reinforcement-learning td-learning temporal-differencing-learning value-iteration
Last synced: 06 May 2025
https://github.com/anujdutt9/data-analyst-nanodegree
Code and Projects for Data Analyst Nanodegree.
data-analyst-nanodegree database-access machine-learning python-3 sqlite-database
Last synced: 04 May 2025
https://github.com/MeiFagundes/PolarisAI
Personal Assistant Engine built with ML.NET.
asp-net-core dotnet machine-learning ml-net mlnet natural-language-processing nlp personal-assistant personal-assistant-engine rest-api
Last synced: 29 Apr 2025
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/superbrucejia/fuzzy-c-means-clustering-sonar-image-segmentation
An Implementation of Sonar Image Segmentation through Fuzzy C-means Clustering
denoise dilation-images fuzzy-cmeans-clustering machine-learning matlab sonar-image-segmentation
Last synced: 06 Mar 2026
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/algorithmiaio/model-deployment
Examples showcasing model deployment
algorithmia machine-learning model-deployment tensorflow tensorflow-examples tensorflow-tutorials
Last synced: 17 Jul 2025
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/lemurpwned/video-sampler
Effective frame sampling for ML applications.
data-mining frame-selection machine-learning sampling video-processing video-sampling
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/nitrictech/python-sdk
Python SDK for Nitric
ai cloud machine-learning nitric python sdk serverless
Last synced: 20 Aug 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/redhat-na-ssa/demo-ai-gitops-catalog
A catalog for demos in GitOps on OpenShift
ai data-science gitops kustomization kustomize machine-learning openshift
Last synced: 29 Jan 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/d-coder111/fndetectoapp
FNDetectoApp
azure azure-deployment fake-news-detection flask future-ready-talent github-actions html machine-learning python webapp
Last synced: 24 Oct 2025
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/korenyoni/opus-api
OPUS (opus.nlpl.eu) Python3 API
api corpora corporate corpus language-model machine-learning opus parallel-corpora parallel-corpus python
Last synced: 15 Apr 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/bsc-quantic/tn4ml
Tensor Networks for Machine Learning
flax jax machine-learning matrix-product-states optax python python3 quimb tensor-network tensor-networks
Last synced: 04 Jan 2026
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
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/dagshub/3d-model-datasets
Open-source 3D Model datasets
codepeak codepeak2022 data-science dataset dvc hacktoberfest hacktoberfest-2022 hacktoberfest-2023 hacktoberfest2022 hacktoberfest22 machine-learning
Last synced: 02 Jan 2026
https://github.com/ultmaster/utilsd
Common deep learning utils.
configuration deep-learning experiment-management logging machine-learning mlops pytorch utils
Last synced: 26 Jul 2025
https://github.com/glenn-jocher/glenn-jocher
Profile for Glenn Jocher
artificial-intelligence deep-learning machine-learning ultralytics yolov10 yolov5 yolov8
Last synced: 08 Jan 2026
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/lettier/interactive-simple-linear-regression
A PureScript, browser-based implementation of simple linear regression.
ai artificial-intelligence data-science frontend functional functional-programming gradient-descent halogen linear-regression machine-learning machine-learning-algorithms nueral-networks press-statistic purescript purescript-halogen regression statistics web-development
Last synced: 03 Feb 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/cblearn/cblearn
Comparison-based Machine Learning in Python
embedding machine-learning machinelearning multidimensional multidimensional-scaling non-metric ordinal scaling scikit-learn
Last synced: 27 Jul 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/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/trainingbypackt/applied-deep-learning-with-keras
Solve complex real-life problems with the simplicity of Keras
cnn-keras cross-validation deep-learning keras machine-learning model-accuracy model-evaluation neural-networks python rnn sequential-models wrapper
Last synced: 10 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/samrere/pytortto
deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
autograd cupy deep-learning gpu machine-learning machine-learning-from-scratch neural-network neural-networks-from-scratch numpy numpy-neural-network
Last synced: 04 Sep 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/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/anthonymrios/adversarial-relation-classification
Unsupervised domain adaptation method for relation extraction
bioinformatics biomedical-data-science machine-learning natural-language-processing nlp nlp-machine-learning relation-extraction
Last synced: 09 Jul 2025
https://github.com/csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
ai artificial-intelligence bias-variance-trade bias-variance-tradeoff complexity double-descent information-theory linear-models linear-regression linear-regression-models machine-learning mdl mean-squared-error minimum-description-length model-selection ridge-regression statistics
Last synced: 12 Sep 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/raamana/missingdata
missing data handing: visualize and impute
biostatistics data-science dirty-data epidemiology imputation machine-learning missing-data missing-values neuroscience visualization
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/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/shivamrai15/safari
Music streaming application using nextjs
albums artists machine-learning mongodb music-streaming next-auth nextjs playlists prisma prisma-orm queue react-query reactjs safari seo-optimization stripe swr swr-hooks vector-search zustand
Last synced: 21 Mar 2025
https://github.com/idlab-discover/rustiflow
Flow feature extraction tool built in Rust using eBPF
data-science dataset-generation ebpf-programs feature-extraction machine-learning network-analysis network-monitoring network-security packet-analyser packet-capture pcap rust throughput-performance traffic-analysis
Last synced: 02 Feb 2026
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/mlengineershub/lazyteacher
End-To-End Machine Learning Project for Automatic Grades for Student Essays
api-server css deep-learning deployment eda end-to-end endpoint fastapi html huggingface javascript machine-learning python statistical-analysis transformers
Last synced: 19 Jul 2025
https://github.com/MindSetLib/Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning
Last synced: 20 Jul 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/mikerah/fakedatagenerator
csv dataset django-framework django-web machine-learning testing-tools
Last synced: 10 Mar 2026
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/ashok-arjun/zero-shot-sketch-based-image-retrieval
Zero-shot sketch-based image retrieval using a domain adversarial neural network
computer-vision deep-learning domain-adversarial gradient-reversal-layer image-retrieval machine-learning pytorch sketch-based-image-retrieval zero-shot-learning
Last synced: 28 Jul 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/mdh266/textclassificationapp
Building and Deploying A Serverless Text Classification Web App
data-science docker document-classification fastapi imbalanced-data imbalanced-learning machine-learning naive-bayes natural-language-processing nlp nltk scikit-learn support-vector-machine text-classification
Last synced: 30 Jul 2025