Jupyter Notebook neural-networks

Open-source Jupyter Notebook projects categorized as neural-networks

Top 23 Jupyter Notebook neural-network Projects

neural-networks
  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. Anime4K

    A High-Quality Real Time Upscaler for Anime Video

  4. introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  5. machine-learning-book

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

  6. machine_learning_complete

    A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  7. probability

    Probabilistic reasoning and statistical analysis in TensorFlow

  8. machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  9. coursera-deep-learning-specialization

    Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  10. Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

  11. ML-Workspace

    🛠 All-in-one web-based IDE specialized for machine learning and data science.

  12. cs229-2018-autumn

    All notes and materials for the CS229: Machine Learning course by Stanford University

  13. awesome-ai-ml-dl

    Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

  14. Knet.jl

    Koç University deep learning framework.

  15. gdrl

    Grokking Deep Reinforcement Learning

  16. tutorials

    AI-related tutorials. Access any of them for free → https://towardsai.net/editorial (by towardsai)

  17. makeMoE

    From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

  18. stylegan-encoder

    StyleGAN Encoder - converts real images to latent space (by pbaylies)

  19. edward2

    A simple probabilistic programming language.

  20. mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  21. TorchDrift

    Drift Detection for your PyTorch Models

  22. seemore

    From scratch implementation of a vision language model in pure PyTorch

  23. conformal_classification

    Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

  24. mnist1d

    A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

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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Jupyter Notebook neural-networks related posts

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  • A note from our sponsor - SaaSHub
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Index

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

# Project Stars
1 LLMs-from-scratch 102,543
2 Anime4K 20,966
3 introtodeeplearning 8,748
4 machine-learning-book 5,311
5 machine_learning_complete 5,020
6 probability 4,424
7 machine_learning_basics 4,417
8 coursera-deep-learning-specialization 4,335
9 Andrew-NG-Notes 3,763
10 ML-Workspace 3,543
11 cs229-2018-autumn 3,442
12 awesome-ai-ml-dl 1,704
13 Knet.jl 1,433
14 gdrl 1,032
15 tutorials 1,025
16 makeMoE 811
17 stylegan-encoder 747
18 edward2 712
19 mango 418
20 TorchDrift 325
21 seemore 260
22 conformal_classification 256
23 mnist1d 253

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