Jupyter Notebook neural-networks

Open-source Jupyter Notebook projects categorized as neural-networks

Top 23 Jupyter Notebook neural-network Projects

  • nn

    🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

    Project mention: Can't remember name of website that has explanations side-by-side with code | /r/learnmachinelearning | 2023-03-28

    Hey are you talking about https://nn.labml.ai/ ?

  • Anime4K

    A High-Quality Real Time Upscaler for Anime Video

    Project mention: IPTV Anti-Piracy Threats May Increase Male Motivation to Pirate by 30% | news.ycombinator.com | 2024-02-04

    > Can you explain what mpv offers over vlc ?

    People have complained about VLC's decoding quality in the past (no specific source but lots of google results). I'm sure there's valid bugs that have been patched over and some still there, but I'd take it with a grain of salt since VLC is super popular and therefore more noise when it drops the ball.

    That said, there's a few MPV-only features I absolutely love. One is that you can display multiple subtitles at once (for learning foreign languages) and another is that you can drop in upscaling / sharpening filters like [1].

    [1] https://github.com/bloc97/Anime4K

  • LearnThisRepo.com

    Learn 300+ open source libraries for free using AI. LearnThisRepo lets you learn 300+ open source repos including Postgres, Langchain, VS Code, and more by chatting with them using AI!

  • introtodeeplearning

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

  • machine_learning_complete

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

  • machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  • probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    Project mention: How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have? | /r/datascience | 2023-06-17


  • ML-Workspace

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • machine-learning-book

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Project mention: Implementing a ChatGPT-like LLM from scratch, step by step | news.ycombinator.com | 2024-01-27

    Sorry, in that case I would rather recommend a dedicated RL book. The RL part in LLMs will be very specific to LLMs, and I will only cover what's absolutely relevant in terms of background info. I do have a longish intro chapter on RL in my other general ML/DL book (https://github.com/rasbt/machine-learning-book/tree/main/ch1...) but like others said, I would recommend a dedicated RL book in your case.

  • 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

    Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2327.0 | /r/algoprojects | 2023-11-21
  • neural-tangents

    Fast and Easy Infinite Neural Networks in Python

    Project mention: Any Deep ReLU Network Is Shallow | news.ycombinator.com | 2023-06-23

    is used to capture the power of a fully-trained deep net of infinite width.

    https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents

    > It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.


    And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.


  • Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

    Project mention: Andrew NG, github courses | /r/learnmachinelearning | 2023-04-18
  • ZoeDepth

    Metric depth estimation from a single image

    Project mention: Software 3D scanner. Free on Prusa Printables | /r/prusa3d | 2023-04-27
  • Knet.jl

    Koç University deep learning framework.

  • cs229-2018-autumn

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

    Project mention: cs229-2018-autumn: NEW Courses - star count:949.0 | /r/algoprojects | 2023-08-27
  • trulens

    Evaluation and Tracking for LLM Experiments

    Project mention: First 15 Open Source Advent projects | dev.to | 2023-12-15

    12. TruLens by TruEra | Github | tutorial

  • geomstats

    Computations and statistics on manifolds with geometric structures.

  • DFL-Colab

    DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

    Project mention: [Deepfakessfw] Meilleur moyen de créer un deepfake pour vidéos avec un logiciel gratuit pour le créer | /r/enfrancais | 2023-04-07
  • tutorials

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

  • stylegan-encoder

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

  • gdrl

    Grokking Deep Reinforcement Learning

  • edward2

    A simple probabilistic programming language.

  • lava

    A Software Framework for Neuromorphic Computing

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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). The latest post mention was on 2024-02-04.

Jupyter Notebook neural-networks related posts


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

Project Stars
1 nn 43,906
2 Anime4K 17,527
3 introtodeeplearning 6,759
4 machine_learning_complete 4,441
5 machine_learning_basics 4,169
6 probability 4,044
7 ML-Workspace 3,289
8 machine-learning-book 2,664
9 coursera-deep-learning-specialization 2,545
10 neural-tangents 2,195
11 Andrew-NG-Notes 2,068
12 ZoeDepth 1,757
13 Knet.jl 1,417
14 cs229-2018-autumn 1,267
15 trulens 1,259
16 geomstats 1,124
17 DFL-Colab 1,014
18 tutorials 959
19 stylegan-encoder 729
20 gdrl 699
21 edward2 657
22 lava 478
23 mango 305
The modern API for authentication & user identity.
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.