Topics / #kaggle

Kaggle projects on GitHub

Data science competitions, datasets and notebooks in the Kaggle ecosystem.

As of , the most-starred Kaggle projects on GitHub are unsloth (78.2K stars), d2l-en (29.9K stars) and data-science-ipython-notebooks (29.4K stars). GitHub.Locker tracks 14 Kaggle repositories with 326.4K stars combined. The fastest-growing on October 16 was unsloth, with +56 stars in a day.

14Projects
326.4KStars in total
+104Stars in a day
Browse in the catalog →github.com/topics/kaggle ↗

Hot right now

Most stars gained in a day · Oct 16

+56

unsloth

unslothai/unsloth · ★ 78.2K

Unsloth is a local-first app for running and training LLMs, diffusion, TTS and embedding models on your own machine, including models like Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4 and FLUX.

+12

kaggle-tpu-lab

ARahim3/kaggle-tpu-lab · ★ 657

A recipe that serves frontier-class open LLMs — GLM-5.3-Flash 320B MoE and Qwen3.8-27B bf16 — on Kaggle's free TPU v5e-8, exposing a public OpenAI-compatible (and Anthropic-compatible) endpoint you can plug into coding agents like Claude Code, Codex, opencode, or pi.

+10

d2l-en

d2l-ai/d2l-en · ★ 29.9K

An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

+6

ebook2audiobook

DrewThomasson/ebook2audiobook · ★ 20.4K

A converter that turns DRM-free e-books into audiobooks with chapters and metadata, using TTS engines with optional voice cloning, in 1158+ languages. It runs locally on modest hardware or in Docker.

The all-time top

14 projects · by stars

  1. #1 · unslothai/unsloth

    unsloth

    Unsloth is a local-first app for running and training LLMs, diffusion, TTS and embedding models on your own machine, including models like Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4 and FLUX.

    78.2K
  2. #2 · d2l-ai/d2l-en

    d2l-en

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

    29.9K
  3. #3 · donnemartin/data-science-ipython-notebooks

    data-science-ipython-notebooks

    A large curated collection of IPython/Jupyter notebooks covering the Python data science stack: deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, statistics with SciPy, pandas, matplotlib, NumPy, Kaggle competition analyses, big data (Spark, Hadoop MapReduce, HDFS), AWS, and command-line essentials.

    29.4K
  1. 4

    machine-learning-for-software-engineers

    28.9KZuzooVn/machine-learning-for-software-engineers

    A free multi-month self-study curriculum that takes a working software engineer from mobile development to a machine learning engineer job, built as a GitHub checklist of articles, books, courses and competitions.

  2. 5

    pytorch-handbook

    21.7Kzergtant/pytorch-handbook · Jupyter Notebook

    An open-source Chinese-language book that teaches PyTorch for deep learning, written as a set of Jupyter notebooks whose code has all been tested to actually run.

  3. 6

    ebook2audiobook

    20.4KDrewThomasson/ebook2audiobook · Python

    A converter that turns DRM-free e-books into audiobooks with chapters and metadata, using TTS engines with optional voice cloning, in 1158+ languages. It runs locally on modest hardware or in Docker.

  4. 7

    deep-learning-with-python-notebooks

    20.3Kfchollet/deep-learning-with-python-notebooks · Jupyter Notebook

    Companion Jupyter notebooks for the book 'Deep Learning with Python' by Francois Chollet (and Matthew Watson for the 3rd edition, 2025), implementing all its code samples, plus legacy notebooks for the 2nd edition (2021) and 1st edition (2017).

  5. 8

    Dive-into-DL-PyTorch

    19.5KShusenTang/Dive-into-DL-PyTorch · Jupyter Notebook

    The Chinese book 'Dive into Deep Learning' with its MXNet code examples rewritten in PyTorch — a free, open-source deep-learning tutorial pairing runnable Jupyter notebooks with online docs.

  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

    Machine-Learning-Tutorials

    18.3Kujjwalkarn/Machine-Learning-Tutorials

    A topic-wise curated list of machine learning and deep learning tutorials, articles and other resources, maintained as a single GitHub README.

  8. 11

    DeepLearning

    17.8KMikoto10032/DeepLearning · Jupyter Notebook

    A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

  9. 12

    Pytorch-UNet

    11.7Kmilesial/Pytorch-UNet · Python

    A PyTorch implementation of the U-Net convolutional network for semantic segmentation, customized for Kaggle's Carvana Image Masking Challenge on high-definition images.

  10. 13

    autogluon

    10.8Kautogluon/autogluon · Python

    AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.

  11. 14

    kaggle-tpu-lab

    657ARahim3/kaggle-tpu-lab · Python

    A recipe that serves frontier-class open LLMs — GLM-5.3-Flash 320B MoE and Qwen3.8-27B bf16 — on Kaggle's free TPU v5e-8, exposing a public OpenAI-compatible (and Anthropic-compatible) endpoint you can plug into coding agents like Claude Code, Codex, opencode, or pi.

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