Jupyter Notebook neural-network

Open-source Jupyter Notebook projects categorized as neural-network | Edit details

Top 23 Jupyter Notebook neural-network Projects

  • GitHub repo python-machine-learning-book

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

    Project mention: What is the purpose of meshgrid in Python / NumPy? | reddit.com/r/codehunter | 2022-01-06

    I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.

  • GitHub repo TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    Project mention: Plagiarism is just bad | reddit.com/r/github | 2021-02-20

    The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • GitHub repo t81_558_deep_learning

    Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Project mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
  • GitHub repo BigDL

    Building Large-Scale AI Applications for Distributed Big Data

    Project mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05

    Intel BigDL for Spark which again is for Spark.

  • GitHub repo NeMo

    NeMo: a toolkit for conversational AI

    Project mention: Yet Another Voice Activity Detection Engine | reddit.com/r/speechrecognition | 2021-10-27

    https://github.com/NVIDIA/NeMo is open-source and has pre-trained VAD model

  • GitHub repo machine_learning_basics

    Plain python implementations of basic machine learning algorithms

    Project mention: Bayesian linear regression in (plain) Python | reddit.com/r/Python | 2021-01-29

    A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.

  • GitHub repo monodepth2

    [ICCV 2019] Monocular depth estimation from a single image

    Project mention: Can anyone explain the following github code to me. Also it’s my first time using GitHub so I’m completely lost. | reddit.com/r/learnmachinelearning | 2021-06-08
  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • GitHub repo yolov3-tf2

    YoloV3 Implemented in Tensorflow 2.0

    Project mention: “ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb | reddit.com/r/computervision | 2021-05-27
  • GitHub repo 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:818.0 | reddit.com/r/algoprojects | 2022-01-15
  • GitHub repo torchdyn

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

  • GitHub repo Deep-Learning-In-Production

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

    Project mention: [P] Deep Learning in Production Book | reddit.com/r/MachineLearning | 2021-11-30

    The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)

  • GitHub repo cryptocurrency-price-prediction

    Cryptocurrency Price Prediction Using LSTM neural network

    Project mention: Help with Jupyter notebook for crypto price prediction | reddit.com/r/learnpython | 2021-03-04

    Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.

  • GitHub repo glasses

    High-quality Neural Networks for Computer Vision 😎

    Project mention: Are Open-sourced Implementations Sometimes Over-engineered? | reddit.com/r/deeplearning | 2021-01-23

    Yes, they are. Take with a grain of salt, but researchers (usually) do not know how to code and (or) they don't care to properly share their work. Things that are learned in the first Computer Science bachelor year, like OOP, DRY, packages, good variables/function naming, are apparently not used in ml research. This is why I created my own library (https://github.com/FrancescoSaverioZuppichini/glasses), for me, good code means less time I have to spend working and more free time.

  • GitHub repo mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • GitHub repo artificial-intelligence-and-machine-learning

    A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

    Project mention: Perceptron Algorithm from Scratch in Python | reddit.com/r/programming | 2022-01-12

    Thanks, you can check out the github repository if needed!

  • GitHub repo nlp-class

    A Natural Language Processing course taught by Professor Ghassemi

    Project mention: 60 Completely FREE Machine Learning Online Courses | reddit.com/r/learnmachinelearning | 2021-09-16
  • GitHub repo MachineLearningWithPython

    Get started with Machine Learning with Python - An introduction with Python programming examples

    Project mention: Machine Learning with Python | FULL course | 15 lessons with 15 projects | Material available (see in comments) | First lesson: k-Nearest Classifier | Apply model on real data: weather data | reddit.com/r/Python | 2021-09-07

    GitHub for material: https://github.com/LearnPythonWithRune/MachineLearningWithPython

  • GitHub repo TensorFlow2.0_Notebooks

    Implementation of a series of Neural Network architectures in TensorFow 2.0

    Project mention: Why do practitioners still use regular tensorflow? [D] | reddit.com/r/MachineLearning | 2021-04-17
  • GitHub repo cs231n

    Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition (by mirzaim)

    Project mention: Assignment solutions for Stanford CS231n-Spring 2021 | reddit.com/r/cs231n | 2021-10-21

    Here's the link to my Repo.

  • GitHub repo NeuralTextToImage

    Colabs for Big Sleep, it's siblings and offsprings.

    Project mention: Giveaway of a few of my digital paintings (OC, AI-aided, 1:1) | reddit.com/r/NFTsMarketplace | 2021-10-04

    I don't have the code I use for these in particular public, but the material generation process is based on VQGAN+CLIP: https://github.com/olaviinha/NeuralTextToImage

  • GitHub repo Machine_Learning_and_Deep_Learning_models

    Repository containing models based on ideas of Machine learning and Deep learning

  • GitHub repo neural-style-transfer

    :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm

    Project mention: Neural Style Transfer in a Most Simple Way | dev.to | 2021-06-17

    OK, I will let you see the code in a second but I want to give some instructions before starting. I will continue to explain the "Neural Style Transfer" implementation that I have made (You can access the codes from this link). We will continue with the codes and the mathematical background of the algorithm at the same time. So, don't be confused! Please stay on the right track, Sir!

  • GitHub repo handwritten-multi-digit-number-recognition

    Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.

    Project mention: I made a handwritten number recognizer | reddit.com/r/Python | 2021-08-20

    Github repo: https://github.com/kingyiusuen/handwritten-multi-digit-number-recognition

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 2022-01-15.

Jupyter Notebook neural-network related posts


Find remote jobs at our new job board 99remotejobs.com. There are 28 new remote jobs listed recently.
Are you hiring? Post a new remote job listing for free.
Less time debugging, more time building
Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.