Topics / #colab

Colab projects on GitHub

Running ML experiments in cloud-hosted notebooks with free GPUs.

As of , the most-starred Colab projects on GitHub are Fooocus (53.6K stars), PythonDataScienceHandbook (50.2K stars) and gradio (43.8K stars). GitHub.Locker tracks 21 Colab repositories with 406.4K stars combined. The fastest-growing on October 17 was Fooocus, with +34 stars in a day.

21Projects
406.4KStars in total
+100Stars in a day
Browse in the catalog →github.com/topics/colab ↗

Hot right now

Most stars gained in a day · Oct 17

+34

Fooocus

lllyasviel/Fooocus · ★ 53.6K

Fooocus is an open-source AI image generator built on Stable Diffusion XL: an offline GPT-2 engine expands your prompt so results look good without prompt engineering or parameter tuning.

+12

gradio

gradio-app/gradio · ★ 43.8K

Gradio is an open-source Python package that turns machine learning models, APIs, or any arbitrary Python function into a shareable demo or web app in just a few lines of Python.

+11

video2x

k4yt3x/video2x · ★ 22.3K

Video2X is an open-source video super resolution and frame interpolation tool: it uses machine learning to upscale low-resolution videos to higher quality and to add interpolated frames for smoother motion.

+10

PythonDataScienceHandbook

jakevdp/PythonDataScienceHandbook · ★ 50.2K

This is the full text of the Python Data Science Handbook, provided as a set of free Jupyter notebooks covering the core Python data science stack.

The all-time top

21 projects · by stars

  1. #1 · lllyasviel/Fooocus

    Fooocus

    Fooocus is an open-source AI image generator built on Stable Diffusion XL: an offline GPT-2 engine expands your prompt so results look good without prompt engineering or parameter tuning.

    53.6K
  2. #2 · jakevdp/PythonDataScienceHandbook

    PythonDataScienceHandbook

    This is the full text of the Python Data Science Handbook, provided as a set of free Jupyter notebooks covering the core Python data science stack.

    50.2K
  3. #3 · gradio-app/gradio

    gradio

    Gradio is an open-source Python package that turns machine learning models, APIs, or any arbitrary Python function into a shareable demo or web app in just a few lines of Python.

    43.8K
  1. 4

    GFPGAN

    37.7KTencentARC/GFPGAN · Python

    GFPGAN is a practical algorithm for real-world blind face restoration: it rebuilds degraded or low-quality faces in photos using rich priors from a pretrained face GAN like StyleGAN2.

  2. 5

    fastai

    28.2Kfastai/fastai · Jupyter Notebook

    It's a deep learning library: high-level components that reach state-of-the-art results quickly in standard domains, plus low-level pieces researchers can mix and match to build new approaches.

  3. 6

    video2x

    22.3Kk4yt3x/video2x · C++

    Video2X is an open-source video super resolution and frame interpolation tool: it uses machine learning to upscale low-resolution videos to higher quality and to add interpolated frames for smoother motion.

  4. 7

    magenta

    19.8Kmagenta/magenta · Python

    A Google Brain research project on machine learning for creativity: deep learning and reinforcement learning models that generate songs, audio, images, and drawings, plus smart tools for artists and musicians.

  5. 8

    pytorch-deep-learning

    19.2Kmrdbourke/pytorch-deep-learning · Jupyter Notebook

    Free course materials for the Zero to Mastery Learn PyTorch for Deep Learning course — a hands-on, code-first introduction to deep learning. The author jokes it's the second best place to learn PyTorch on the internet, after the official docs.

  6. 9

    avatarify-python

    16.5Kalievk/avatarify-python · Python

    It puts photorealistic animated avatars into Zoom, Skype and other video-conferencing apps: instead of your webcam feed, an AI model drives a face photo with your movements.

  7. 10

    stable-diffusion-webui-colab

    15.9Kcamenduru/stable-diffusion-webui-colab · Jupyter Notebook

    A set of ready-made Google Colab notebooks that install and run the Stable Diffusion WebUI in the cloud — one notebook per popular model, from SD 1.5 to waifu-diffusion and style fine-tunes.

  8. 11

    first-order-model

    15KAliaksandrSiarohin/first-order-model · Jupyter Notebook

    This is the official source code for the 'First Order Motion Model for Image Animation' paper: it animates a static source image by transferring motion from a driving video, using self-learned keypoints instead of manual annotations.

  9. 12

    nlp-tutorial

    14.9Kgraykode/nlp-tutorial · Jupyter Notebook

    A collection of short PyTorch implementations covering core NLP and deep learning models, from word embeddings to Transformers and BERT, meant as a study resource.

  10. 13

    latent-diffusion

    14.2KCompVis/latent-diffusion · Jupyter Notebook

    This is the official research codebase for the paper 'High-Resolution Image Synthesis with Latent Diffusion Models' by CompVis, which introduced Latent Diffusion Models (LDMs) - diffusion models trained in a compressed latent space instead of raw pixel space for efficient, high-resolution image synthesis.

  11. 14

    kohya_ss

    12.6Kbmaltais/kohya_ss · Python

    Kohya's GUI is a Gradio-based graphical interface (plus CLI) for Kohya's Stable Diffusion training scripts, letting you fine-tune diffusion models, train LoRA/LoHa/LoKr, Dreambooth, Textual Inversion, and full fine-tuning without hand-writing training commands.

  12. 15

    GPU-Puzzles

    12.5Ksrush/GPU-Puzzles · Jupyter Notebook

    GPU-Puzzles is an interactive Jupyter notebook that teaches beginner GPU programming by having you implement CUDA kernels directly, puzzle by puzzle, instead of reading theory.

  13. 16

    petals

    10.6Kbigscience-workshop/petals · Python

    Petals lets you run big open LLMs at home, BitTorrent-style: you join a public swarm that serves models like Llama 3.1 (405B), Mixtral (8x22B), Falcon (40B+) and BLOOM (176B) for inference and fine-tuning right from your desktop or Google Colab, up to 10x faster than offloading.

  14. 17

    lama

    10.3Kadvimman/lama · Jupyter Notebook

    LaMa is an AI image inpainting model with its research code: it removes unwanted objects and fills in large missing regions of photos using Fourier convolutions, staying reliable even at high resolutions. It is the official code of a WACV 2022 paper.

  15. 18

    LuxTTS

    5.5Kysharma3501/LuxTTS · Python

    LuxTTS is a lightweight text-to-speech model built on the ZipVoice architecture, designed for high-quality voice cloning and fast speech generation.

  16. 19

    tapnet

    2.2Kgoogle-deepmind/tapnet · Jupyter Notebook

    This is Google DeepMind's official repository for Tracking Any Point (TAP) research: it bundles the TAP-Vid and TAPVid-3D benchmark datasets, the TAPIR/BootsTAPIR/TAPNext/TAPNext++ point-tracking models, the RoboTAP robotics extension, and the TRAJAN trajectory autoencoder.

  17. 20

    ai-engineer-notebooks

    703calmrocks/ai-engineer-notebooks · Jupyter Notebook

    A collection of framework-free, hands-on Jupyter/Colab notebooks teaching the applied-LLM engineer skill set — model APIs, RAG, evals, agents, fine-tuning, security, and LLMOps — built for engineers moving into AI Engineer / Forward Deployed Engineer (FDE) roles.

  18. 21

    djev-run

    584taeold/djev-run · HTML

    djev-run serves DiffusionGemma-Jev (djev) behind a TypeSafe AI compatible API on Google Cloud Run with an NVIDIA RTX PRO 6000 Blackwell or L4 GPU, or runs it directly inside Google Colab Pro via colab.ipynb; it is built on mmastrac/djev.

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