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Top 23 Jupyter Notebook neural-network Projects
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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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.
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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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super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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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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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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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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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DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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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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torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.
Project mention: Competitive reinforcement learning for turn-based games | /r/reinforcementlearning | 2023-05-26This is a good intro to alphazero and montecarlo treesearch , Followed by This repo.
I cannot recommend Andrew Ng's courses on Machine Learning enough. Something like this seems like it would cover everything you're looking for.
https://www.coursera.org/learn/machine-learning
I cannot speak to the author of the content of this github repo, but it appears they have completed the course and included all of the solutions here. It might let you jump right to what you're looking for.
https://github.com/greyhatguy007/Machine-Learning-Specializa...
Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2327.0 | /r/algoprojects | 2023-11-21
Project mention: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning | news.ycombinator.com | 2023-12-01Good point - the main issue is we encountered this exact issue with our old package Hyperlearn (https://github.com/danielhanchen/hyperlearn).
I OSSed all the code to the community - I'm actually an extremely open person and I love contributing to the OSS community.
The issue was the package got gobbled up by other startups and big tech companies with no credit - I didn't want any cash from it, but it stung and hurt really bad hearing other startups and companies claim it was them who made it faster, whilst it was actually my work. It hurt really bad - as an OSS person, I don't want money, but just some recognition for the work.
I also used to accept and help everyone with their writing their startup's software, but I never got paid or even any thanks - sadly I didn't expect the world to be such a hostile place.
So after a sad awakening, I decided with my brother instead of OSSing everything, we would first OSS something which is still very good - 5X faster training is already very reasonable.
I'm all open to other suggestions on how we should approach this though! There are no evil intentions - in fact I insisted we OSS EVERYTHING even the 30x faster algos, but after a level headed discussion with my brother - we still have to pay life expenses no?
If you have other ways we can go about this - I'm all ears!! We're literally making stuff up as we go along!
Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10
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 related posts
- Understanding Automatic Differentiation in 30 lines of Python
- Like Diffusion but Faster: The Paella Model for Fast Image Generation
- FLaNK Stack for 15 May 2023
- GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...
- Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection
- Stable Diffusion with Core ML on Apple Silicon
- Package for visualizing pytorch models
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
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 | 25,097 |
| 2 | python-machine-learning-book | 12,076 |
| 3 | TensorFlow-Tutorials | 9,250 |
| 4 | t81_558_deep_learning | 5,666 |
| 5 | deep-learning-v2-pytorch | 5,167 |
| 6 | super-gradients | 4,322 |
| 7 | machine_learning_basics | 4,199 |
| 8 | monodepth2 | 3,974 |
| 9 | alpha-zero-general | 3,667 |
| 10 | LSTM-Human-Activity-Recognition | 3,265 |
| 11 | Machine-Learning-Specialization-Coursera | 2,680 |
| 12 | coursera-deep-learning-specialization | 2,679 |
| 13 | yolov3-tf2 | 2,508 |
| 14 | Andrew-NG-Notes | 2,228 |
| 15 | DeepLearningForNLPInPytorch | 1,901 |
| 16 | hyperlearn | 1,510 |
| 17 | ILearnDeepLearning.py | 1,312 |
| 18 | torchdyn | 1,272 |
| 19 | transformers-interpret | 1,207 |
| 20 | Deep_Learning_Machine_Learning_Stock | 1,142 |
| 21 | Deep-Learning-In-Production | 1,072 |
| 22 | glasses | 413 |
| 23 | mango | 310 |
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