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.

    Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25

    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml

  • python-machine-learning-book

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

    Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | reddit.com/r/statistics | 2022-12-12
  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

  • t81_558_deep_learning

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

    Project mention: Wednesday Daily Thread: Beginner questions | reddit.com/r/Python | 2022-03-16

    I am just getting into Machine Learning with Python. I have an M1 MacBook Air and (somehow) managed to install Tensorflow according to this tutorial https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-metal-jul-2021.ipynb , which is apparently the bread and butter of machine learning.

  • deep-learning-v2-pytorch

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

    Project mention: how can i activate the cells in this github | reddit.com/r/learnprogramming | 2022-11-21

    in this link deep-learning-v2-pytorch/StudentAdmissions.ipynb at master · udacity/deep-learning-v2-pytorch · GitHub

  • machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  • monodepth2

    [ICCV 2019] Monocular depth estimation from a single image

    Project mention: Calculation of an absolute depth map from multiple images or videos. | reddit.com/r/computervision | 2022-10-26
  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • 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

    Project mention: [P] Blog post: Learning JAX by Learning to Learn | reddit.com/r/MachineLearning | 2022-04-29

    Code for https://arxiv.org/abs/1606.04474 found: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

  • yolov3-tf2

    YoloV3 Implemented in Tensorflow 2.0

  • 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:1720.0 | reddit.com/r/algoprojects | 2023-02-03
  • hyperlearn

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

    Project mention: [Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn. | reddit.com/r/MachineLearning | 2022-06-02

    Hello everyone!! It's been a while!! Years back I released Hyperlearn https://github.com/danielhanchen/hyperlearn. It has 1.2K Github stars, where I made tonnes of algos faster:

  • 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.

    Project mention: Use YOLOv5 tensorflow.js models to speed up annotation | reddit.com/r/deeplearning | 2022-10-04

    makesense.ia is certainly the largest one. I just recently started https://github.com/SkalskiP/yolov5js with the aim to make it much easier for frontend developers without computer vision background to use object detection in their projects. Apart from that, I have https://github.com/SkalskiP/ILearnDeepLearning.py which is a repository containing examples related to my blog posts on Medium https://medium.com/@piotr.skalski92.

  • 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.

    Project mention: [P] XAI Recipes for the HuggingFace 🤗 Image Classification Models | reddit.com/r/MachineLearning | 2022-10-18

    Very cool, I like seeing this. I also noticed the transformers interpret package has released support for an image classification explainer: https://github.com/cdpierse/transformers-interpret

  • Deep-Learning-In-Production

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

  • Deep-Learning-Machine-Learning-Stock

    Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

    Project mention: Deep-Learning-Machine-Learning-Stock: curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may b | reddit.com/r/algoprojects | 2022-06-18
  • 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: Is there no way to do the labs exercises on Coursera unless I pay for it? | reddit.com/r/learnmachinelearning | 2022-09-01

    Found this and it may have some of the labs https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera

  • cryptocurrency-price-prediction

    Cryptocurrency Price Prediction Using LSTM neural network

  • glasses

    High-quality Neural Networks for Computer Vision 😎

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

  • gan-vae-pretrained-pytorch

    Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

    Project mention: DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images? | reddit.com/r/learnmachinelearning | 2022-03-13

    I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.

  • 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

  • MachineLearningWithPython

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

  • 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). The latest post mention was on 2023-02-03.

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