Jupyter Notebook neural-network

Open-source Jupyter Notebook projects categorized as neural-network

Top 23 Jupyter Notebook neural-network Projects

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

  • 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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  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

  • t81_558_deep_learning

    T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  • deep-learning-v2-pytorch

    Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  • super-gradients

    Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  • Project mention: Zero-Shot Prediction Plugin for FiftyOne | dev.to | 2024-03-13

    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.

  • machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  • SaaSHub

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

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  • monodepth2

    [ICCV 2019] Monocular depth estimation from a single image

  • alpha-zero-general

    A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

  • 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

  • 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

  • Project mention: Linear Algebra for Programmers | news.ycombinator.com | 2023-09-01

    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...

  • 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
  • yolov3-tf2

    YoloV3 Implemented in Tensorflow 2.0

  • Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

  • DeepLearningForNLPInPytorch

    An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

  • hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

  • Project mention: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning | news.ycombinator.com | 2023-12-01

    Good 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!

  • 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.

  • torchdyn

    A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  • transformers-interpret

    Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  • Deep_Learning_Machine_Learning_Stock

    Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

  • Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10
  • Deep-Learning-In-Production

    Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

  • glasses

    High-quality Neural Networks for Computer Vision 😎

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • SaaSHub

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

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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

    9 projects | news.ycombinator.com | 24 Aug 2023
  • Like Diffusion but Faster: The Paella Model for Fast Image Generation

    4 projects | news.ycombinator.com | 26 Jun 2023
  • FLaNK Stack for 15 May 2023

    10 projects | dev.to | 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...

    1 project | /r/thirdbrain | 12 May 2023
  • Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection

    1 project | /r/machinelearningnews | 8 May 2023
  • Stable Diffusion with Core ML on Apple Silicon

    8 projects | news.ycombinator.com | 1 Dec 2022
  • Package for visualizing pytorch models

    2 projects | /r/pytorch | 14 Nov 2022
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 29 May 2024
    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. Learn more →

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 25,106
2 python-machine-learning-book 12,146
3 TensorFlow-Tutorials 9,250
4 t81_558_deep_learning 5,677
5 deep-learning-v2-pytorch 5,203
6 super-gradients 4,370
7 machine_learning_basics 4,230
8 monodepth2 3,999
9 alpha-zero-general 3,696
10 LSTM-Human-Activity-Recognition 3,287
11 Machine-Learning-Specialization-Coursera 2,824
12 coursera-deep-learning-specialization 2,737
13 yolov3-tf2 2,509
14 Andrew-NG-Notes 2,315
15 DeepLearningForNLPInPytorch 1,901
16 hyperlearn 1,578
17 ILearnDeepLearning.py 1,317
18 torchdyn 1,292
19 transformers-interpret 1,214
20 Deep_Learning_Machine_Learning_Stock 1,159
21 Deep-Learning-In-Production 1,073
22 glasses 426
23 mango 314

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