Jupyter Notebook neural-networks

Open-source Jupyter Notebook projects categorized as neural-networks

Top 23 Jupyter Notebook neural-network Projects

neural-networks
  1. Anime4K

    A High-Quality Real Time Upscaler for Anime Video

  2. InfluxDB

    InfluxDB โ€“ Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. introtodeeplearning

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

    Project mention: AIM Weekly for 10 June 2024 | dev.to | 2024-06-10
  4. machine_learning_complete

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

  5. machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  6. probability

    Probabilistic reasoning and statistical analysis in TensorFlow

  7. machine-learning-book

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

  8. 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

  9. SaaSHub

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

    SaaSHub logo
  10. ML-Workspace

    ๐Ÿ›  All-in-one web-based IDE specialized for machine learning and data science.

  11. Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

  12. ZoeDepth

    Metric depth estimation from a single image

  13. cs229-2018-autumn

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

    Project mention: Low responsiveness of ML models to critical or deteriorating health conditions | news.ycombinator.com | 2025-03-29

    Linear regression is literally the second lecture of the Stanford ML class. https://cs229.stanford.edu/

  14. neural-tangents

    Fast and Easy Infinite Neural Networks in Python

  15. 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.

    Project mention: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders | news.ycombinator.com | 2024-11-21

    From https://news.ycombinator.com/item?id=34619013 :

    > /? awesome "explainable ai" https://www.google.com/search?q=awesome+%22explainable+ai%22

    - (Many other great resources)

    - https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master... :

    > Post model-creation analysis, ML interpretation/explainability

    > /? awesome "explainable ai" "XAI"

  16. Knet.jl

    Koรง University deep learning framework.

  17. tutorials

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

  18. gdrl

    Grokking Deep Reinforcement Learning

  19. stylegan-encoder

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

  20. makeMoE

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

  21. edward2

    A simple probabilistic programming language.

  22. lava

    A Software Framework for Neuromorphic Computing

  23. NNsight

    The nnsight package enables interpreting and manipulating the internals of deep learned models.

  24. mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  25. TorchDrift

    Drift Detection for your PyTorch Models

  26. SaaSHub

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

    SaaSHub logo
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

  • Low responsiveness of ML models to critical or deteriorating health conditions

    1 project | news.ycombinator.com | 29 Mar 2025
  • Why Vector Compression Matters

    3 projects | dev.to | 24 Apr 2024
  • trulens VS agenta - a user suggested alternative

    2 projects | 22 Nov 2023
  • How are generative AI companies monitoring their systems in production?

    4 projects | news.ycombinator.com | 19 Sep 2023
  • cs229-2018-autumn: NEW Courses - star count:949.0

    1 project | /r/algoprojects | 27 Aug 2023
  • cs229-2018-autumn: NEW Courses - star count:949.0

    1 project | /r/algoprojects | 26 Aug 2023
  • cs229-2018-autumn: NEW Courses - star count:949.0

    1 project | /r/algoprojects | 24 Aug 2023
  • A note from our sponsor - SaaSHub
    www.saashub.com | 21 May 2025
    SaaSHub helps you find the best software and product alternatives Learn more โ†’

Index

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

# Project Stars
1 Anime4K 19,447
2 introtodeeplearning 7,827
3 machine_learning_complete 4,789
4 machine_learning_basics 4,374
5 probability 4,335
6 machine-learning-book 4,263
7 coursera-deep-learning-specialization 3,671
8 ML-Workspace 3,493
9 Andrew-NG-Notes 2,851
10 ZoeDepth 2,578
11 cs229-2018-autumn 2,374
12 neural-tangents 2,322
13 awesome-ai-ml-dl 1,532
14 Knet.jl 1,432
15 tutorials 1,005
16 gdrl 907
17 stylegan-encoder 743
18 makeMoE 706
19 edward2 695
20 lava 605
21 NNsight 565
22 mango 416
23 TorchDrift 315

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