Jupyter Notebook Deep Learning

Open-source Jupyter Notebook projects categorized as Deep Learning

Top 23 Jupyter Notebook Deep Learning Projects

Deep Learning
  1. LLMs-from-scratch

    Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

    Project mention: DeepSeek Sparse Attention | news.ycombinator.com | 2026-05-24
  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

    Project mention: AI for Beginners | news.ycombinator.com | 2025-11-15
  4. Made-With-ML

    Learn how to develop, deploy and iterate on production-grade ML applications.

  5. TensorFlow-Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  6. CLIP

    CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

    Project mention: Playing with Vision Embeddings | news.ycombinator.com | 2026-06-08
  7. fastai

    The fastai deep learning library

    Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06

    fastai: https://github.com/fastai/fastai ⭐ 26k+

  8. shap

    A game theoretic approach to explain the output of any machine learning model.

  9. handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

  10. fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06
  11. learnopencv

    Learn OpenCV : C++ and Python Examples

  12. machine-learning-for-trading

    Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

  13. stable-diffusion-webui-colab

    stable diffusion webui colab

  14. vosk-api

    Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

    Project mention: Audio-to-Text Transcriber Automated via Termux | dev.to | 2025-10-01

    pip install vosk soundfile git clone https://github.com/alphacep/vosk-api.git # download a small model into ~/models # convert audio to 16k mono wav: ffmpeg -i input.mp3 -ar 16000 -ac 1 input_16k.wav # run a small python script: python transcribe_vosk.py input_16k.wav > output.txt

  15. first-order-model

    This repository contains the source code for the paper First Order Motion Model for Image Animation

  16. DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  17. LAVIS

    LAVIS - A One-stop Library for Language-Vision Intelligence

  18. amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  19. numerical-linear-algebra

    Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

  20. TTS

    :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)

    Project mention: Owners, not renters: Mozilla's open source AI strategy | news.ycombinator.com | 2026-01-13
  21. lama

    🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

  22. models

    A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)

    Project mention: Setting Up and Using ONNX Runtime for C++ in Linux | dev.to | 2026-04-07

    Go to the ONNX Model Zoo and download the squeezenext1_1 ONNX model (it's really simple and will suffice for this guide). Then move or copy the model into the models folder:

  23. notebooks

    A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

  24. TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source Deep Learning projects in Jupyter Notebook? This list will help you:

# Project Stars
1 LLMs-from-scratch 102,543
2 AI-For-Beginners 63,829
3 Made-With-ML 49,078
4 TensorFlow-Examples 43,739
5 CLIP 34,150
6 fastai 28,117
7 shap 25,682
8 handson-ml 25,606
9 fastbook 25,189
10 learnopencv 23,073
11 machine-learning-for-trading 20,436
12 stable-diffusion-webui-colab 15,920
13 vosk-api 15,053
14 first-order-model 15,014
15 DeepLearningExamples 14,847
16 LAVIS 11,222
17 amazon-sagemaker-examples 10,981
18 numerical-linear-algebra 10,932
19 TTS 10,170
20 lama 10,148
21 models 9,759
22 notebooks 9,610
23 TensorFlow-Tutorials 9,263

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