Topics / #classification

Classification projects on GitHub

Image and data classification models, training, and annotation.

As of , the most-starred Classification projects on GitHub are scikit-learn (67.7K stars), supervision (51.2K stars) and laya (33.2K stars). GitHub.Locker tracks 45 Classification repositories with 544.1K stars combined. The fastest-growing on October 16 was StartLux-Decision, with +150 stars in a day.

45Projects
544.1KStars in total
+655Stars in a day
Browse in the catalog →github.com/topics/classification ↗

Hot right now

Most stars gained in a day · Oct 16

+150

StartLux-Decision

StartLuxLabs/StartLux-Decision · ★ 648

StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.

+130

laya

NandhaKishorM/laya · ★ 33.2K

Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.

+120

Hands-On-Large-Language-Models

HandsOnLLM/Hands-On-Large-Language-Models · ★ 29.7K

The official code repo for the O'Reilly book 'Hands-On Large Language Models', known as the Illustrated LLM Book. It contains a Jupyter notebook for each of the book's 12 chapters.

+63

AnyJev

nokia-applied-research/AnyJev · ★ 1.4K

A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.

The all-time top

45 projects · by stars

  1. #1 · scikit-learn/scikit-learn

    scikit-learn

    scikit-learn is a Python library for machine learning, offering ready-made algorithms for classification, regression, clustering, dimensionality reduction and more, built on top of SciPy.

    67.7K
  2. #2 · roboflow/supervision

    supervision

    Supervision is a Python library with reusable computer vision building blocks: detection/segmentation/classification result handling, annotators, trackers, and dataset utilities that plug into any model.

    51.2K
  3. #3 · NandhaKishorM/laya

    laya

    Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.

    33.2K
  1. 4

    Hands-On-Large-Language-Models

    29.7KHandsOnLLM/Hands-On-Large-Language-Models · Jupyter Notebook

    The official code repo for the O'Reilly book 'Hands-On Large Language Models', known as the Illustrated LLM Book. It contains a Jupyter notebook for each of the book's 12 chapters.

  2. 5

    fastText

    26.5Kfacebookresearch/fastText · HTML

    fastText is a library from Facebook Research for efficiently learning word vector representations and training text classifiers, such as for sentiment analysis.

  3. 6

    deep-learning-for-image-processing

    26.4KWZMIAOMIAO/deep-learning-for-image-processing · Python

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

  4. 7

    vit-pytorch

    25.6Klucidrains/vit-pytorch · Python

    A PyTorch implementation of the Vision Transformer (ViT), an image classification model that reaches SOTA results using just a single transformer encoder instead of convolutions.

  5. 8

    homemade-machine-learning

    24.8Ktrekhleb/homemade-machine-learning · Jupyter Notebook

    A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

  6. 9

    LightGBM

    18.9Klightgbm-org/LightGBM · C++

    LightGBM is a gradient boosting framework that uses tree-based learning algorithms, used for ranking, classification and many other machine learning tasks.

  7. 10

    magika

    18.7Kgoogle/magika · Rust

    Magika is an AI-powered file type detection tool: a small deep learning model (a few MB) identifies what a file actually is within milliseconds, even on a single CPU.

  8. 11

    labelme

    16.2Kwkentaro/labelme · Python

    Labelme is a graphical image annotation tool written in Python: you draw polygons, rectangles, circles, lines and points on images to build labeled datasets for computer vision work.

  9. 12

    openface

    15.4Kcmusatyalab/openface · Lua

    OpenFace is a free, open-source face recognition toolkit built on deep neural networks, developed by Carnegie Mellon University.

  10. 13

    detr

    15.3Kfacebookresearch/detr · Python

    DETR is Facebook AI Research's object detection model that treats detection as a direct set prediction problem using a Transformer encoder-decoder, replacing the usual hand-crafted detection pipeline (anchors, NMS, etc).

  11. 14

    machine-learning-zoomcamp

    14.8KDataTalksClub/machine-learning-zoomcamp · Jupyter Notebook

    Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

  12. 15

    nltk

    14.7Knltk/nltk · Python

    NLTK is a suite of open source Python modules, bundled data sets, and tutorials supporting research and development in Natural Language Processing.

  13. 16

    facenet

    14.4Kdavidsandberg/facenet · Python

    This is a TensorFlow implementation of FaceNet, a face recognition system that converts face images into 128-dimensional embeddings for recognition and clustering, based on the paper 'FaceNet: A Unified Embedding for Face Recognition and Clustering'.

  14. 17

    Time-Series-Library

    13Kthuml/Time-Series-Library · Python

    TSLib is an open-source Python library for deep learning researchers working on time series: a clean codebase to evaluate advanced deep time series models or develop your own, with around 13,000 GitHub stars.

  15. 18

    fashion-mnist

    12.9Kzalandoresearch/fashion-mnist · Python

    A dataset of Zalando's article images for benchmarking machine learning algorithms: 60,000 training and 10,000 test examples, each a 28x28 grayscale image with a label from 10 classes. It is meant as a direct drop-in replacement for the original MNIST.

  16. 19

    python-machine-learning-book

    12.7Krasbt/python-machine-learning-book · Jupyter Notebook

    This is the official code repository for the 1st edition of the 'Python Machine Learning' book by Sebastian Raschka, published by Packt in 2015. It holds the Jupyter notebooks with all the code examples from the book's 13 chapters, from basic classifiers to neural networks.

  17. 20

    lime

    12.2Kmarcotcr/lime · JavaScript

    LIME (Local Interpretable Model-agnostic Explanations) is a Python package that explains individual predictions of any machine learning classifier, whether it works on text, tabular data, or images.

  18. 21

    convnetjs

    11.2Kkarpathy/convnetjs · JavaScript

    ConvNetJS is a JavaScript implementation of neural networks that lets you train Convolutional Neural Networks, ordinary fully-connected nets, and even reinforcement learning agents directly in the browser.

  19. 22

    natural

    10.9KNaturalNode/natural · JavaScript

    Natural is a general-purpose natural language processing library for Node.js that bundles tokenizers, stemmers, classifiers and other NLP utilities into one package.

  20. 23

    doccano

    10.8Kdoccano/doccano · Python

    Doccano is an open-source text annotation tool that lets humans label data for machine learning tasks like text classification, sequence labeling, and sequence-to-sequence problems such as summarization or translation.

  21. 24

    Machine-Learning

    10.4KJack-Cherish/Machine-Learning · Python

    A Chinese-language tutorial project that implements classic machine learning algorithms in Python3 - kNN, Decision Tree, Naive Bayes, Logistic Regression, SVM, Regression, Regression Tree and AdaBoost - following the exercises in the book 'Machine Learning in Action', with companion blog articles explaining each chapter.

  22. 25

    sktime

    10.1Ksktime/sktime · Python

    sktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.

  23. 26

    kev

    9.3Kjaredpalmer/kev · Python

    Kev is an open family of small decision models (0.8B to 27B parameters) built on Qwen3.5/3.8 that answer yes/no, multiple-choice and rating questions about text with calibrated probabilities, acting as a self-hosted drop-in replacement for TypeSafe's hosted Jev model.

  24. 27

    awesome-jev

    2.4Kyibie/awesome-jev · Python

    A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions. It tracks who is actually building with it and which decision patterns transfer across industries.

  25. 28

    deepopen

    2Kdeepopen-com/deepopen · Python

    DeepOpen is an open-source, non-autoregressive 'System 1' decision engine: instead of generating text token-by-token like an LLM, it makes typed decisions (choice, score, or boolean) over text, email, tickets or JSON in a single forward pass, across 100+ languages, in as little as 33ms.

  26. 29

    jeff

    1.5Kfirelex/jeff · Python

    Jeff is a family of small (0.8B-2B parameter) open-weight models fine-tuned from Qwen3.5 and Gemma 4 that act as fast 'System 1' decision-makers: you describe a situation and a list of options in plain text, and Jeff returns a calibrated probability for each option from a single forward pass, with no generated text to parse.

  27. 30

    AnyJev

    1.4Knokia-applied-research/AnyJev · Python

    A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.

  28. 31

    jev

    1.4Kfeder-cr/jev · C++

    jevos-1b is a free, open-source yes/no decision engine that runs locally on your laptop's CPU, returning the probability that the answer is 'yes' for a given text plus question in about 50-220 ms, as a self-hosted alternative to the cloud-based Jev service.

  29. 32

    jevlike

    1.4Kvinnylarouge/jevlike · Python

    A small research model that reads a piece of text plus a list of options and returns a probability for each option in one pass, instead of writing an answer token by token.

  30. 33

    pg-jev

    1.2KrealZachi/pg-jev · Shell

    pg-jev (jev) is a PostgreSQL extension that lets you filter, rank and classify table rows using plain-language conditions instead of SQL predicates. Each row is judged by TypeSafe's Jev, a model that returns calibrated probabilities rather than generated text.

  31. 34

    shapeshift

    970anishfn/shapeshift · TypeScript

    Shapeshift is a single text input that morphs into the right UI widget as you type — an event card, checklist, timer, color picker, bill splitter, poll, converter and more — based on what it thinks you mean.

  32. 35

    von

    916wfzyx/von · Python

    Von is an open-source, non-autoregressive decision model (395M parameters, 1.5 GB) that makes calibrated discrete, probabilistic, and ordinal decisions in a single forward pass in under 25 ms — a local, free alternative to the proprietary TypeSafe Jev.

  33. 36

    strands-decider

    664strands-labs/strands-decider · Python

    Strands Decider is a small, fast 'system one' decision model built for agentic workflows. Instead of generating free text like an LLM, it picks between a set of options or rates something on a scale, and returns a calibrated confidence score for every decision.

  34. 37

    StartLux-Decision

    648StartLuxLabs/StartLux-Decision · Python

    StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.

  35. 38

    awesome-jev

    602kydlikebtc/awesome-jev · Python

    A curated index of 1207 public resources for Jev, TypeSafe AI's System One decision model, organised by the decision each resource illustrates. It's an independent catalog, not the product or an SDK.

  36. 39

    GLiClass

    563Knowledgator/GLiClass · Python

    GLiClass is an efficient zero-shot model for sequence classification, inspired by GLiNER: give it a text and a list of candidate labels, and it classifies the text with accuracy comparable to cross-encoders.

  37. 40

    jeeves

    425PostHog/jeeves · Python

    Jeeves is a reasoning-enhanced 'Jev-like' decision model built on Qwen3.5-9B with LoRA. It thinks through a reasoning chain before giving calibrated yes/no, multiple-choice, or rating answers, and ships with a diffusion drafter for faster inference.

  38. 41

    jev-align

    309sutro-sh/jev-align · Python

    An experimental CLI from Sutro for building calibrated AI Functions on TypeSafe's Jev: it finds uncertain examples in your dataset, has you label them, and uses GEPA to keep improving the function.

  39. 42

    vegaml

    254NandhaKishorM/vegaml · Python

    vegaml wraps a frozen language model and a small calibration engine so that a state plus a fixed-type question (choice, score, or boolean) returns a value your code can use directly, with a calibrated probability, a conformal answer set, and an explicit abstain flag. No text is ever generated in the path.

  40. 43

    AutoLOGIC

    209sethGu/AutoLOGIC · Python

    AutoLOGIC is an agentic framework for automated tabular machine learning across classification, regression, and clustering. It turns a task specification into coordinated feature, model, optimization, and output-control plans and then executes them with task-specific tools.

  41. 44

    open-jev

    134daseinlabs/open-jev · Python

    An open implementation of Jev: a local Gemma 3 4B (via MLX) scores a list of pre-written options against a context in one batched forward pass on Apple silicon — no text generation, just log-probabilities per option.

  42. 45

    Bud-Decision-Studio

    110BudEcosystem/Bud-Decision-Studio · HTML

    Bud Decision Studio is a cross-platform desktop app and local serving system for 'decision models' (Jev-like 'System One' models): you give it a situation and typed questions, and it returns a calibrated probability for every allowed answer instead of generated text.

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