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Top 23 Jupyter Notebook neural-network Projects
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1️⃣1️⃣ Practical Machine Learning 📈 📌 https://github.com/ageron/handson-ml Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.
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InfluxDB
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
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Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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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
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LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
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ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
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transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
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time-series-forecasting-pytorch
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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).
Jupyter Notebook neural-network discussion
Jupyter Notebook neural-network related posts
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Neural Graffiti – Liquid Memory Layer for LLMs
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Understanding Automatic Differentiation in 30 lines of Python
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Like Diffusion but Faster: The Paella Model for Fast Image Generation
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FLaNK Stack for 15 May 2023
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GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...
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Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection
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Stable Diffusion with Core ML on Apple Silicon
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A note from our sponsor - SaaSHub
www.saashub.com | 29 Apr 2025
Index
What are some of the best open-source neural-network projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | handson-ml | 25,329 |
| 2 | python-machine-learning-book | 12,403 |
| 3 | TensorFlow-Tutorials | 9,278 |
| 4 | t81_558_deep_learning | 5,729 |
| 5 | deep-learning-v2-pytorch | 5,375 |
| 6 | Machine-Learning-Specialization-Coursera | 5,111 |
| 7 | machine_learning_basics | 4,372 |
| 8 | monodepth2 | 4,307 |
| 9 | alpha-zero-general | 4,114 |
| 10 | coursera-deep-learning-specialization | 3,628 |
| 11 | LSTM-Human-Activity-Recognition | 3,368 |
| 12 | Andrew-NG-Notes | 2,851 |
| 13 | yolov3-tf2 | 2,512 |
| 14 | hyperlearn | 2,126 |
| 15 | DeepLearningForNLPInPytorch | 1,941 |
| 16 | torchdyn | 1,473 |
| 17 | ILearnDeepLearning.py | 1,367 |
| 18 | transformers-interpret | 1,325 |
| 19 | Deep_Learning_Machine_Learning_Stock | 1,308 |
| 20 | Deep-Learning-In-Production | 1,154 |
| 21 | glasses | 444 |
| 22 | mango | 413 |
| 23 | time-series-forecasting-pytorch | 274 |
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