Top 23 Jupyter Notebook neural-network Projects
The "Python Machine Learning (1st edition)" book code repository and info resourceProject 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.
TensorFlow Tutorials with YouTube VideosProject 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.
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.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural NetworksProject mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
Building Large-Scale AI Applications for Distributed Big DataProject mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05
Intel BigDL for Spark which again is for Spark.
NeMo: a toolkit for conversational AIProject 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
Plain python implementations of basic machine learning algorithmsProject 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.
[ICCV 2019] Monocular depth estimation from a single imageProject 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 - 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.
YoloV3 Implemented in Tensorflow 2.0Project 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
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 ModelsProject mention: coursera-deep-learning-specialization: NEW Courses - star count:818.0 | reddit.com/r/algoprojects | 2022-01-15
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods.
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)
Cryptocurrency Price Prediction Using LSTM neural networkProject 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.
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.
Parallel Hyperparameter Tuning in Python (by ARM-software)
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithmProject mention: Perceptron Algorithm from Scratch in Python | reddit.com/r/programming | 2022-01-12
Thanks, you can check out the github repository if needed!
A Natural Language Processing course taught by Professor GhassemiProject mention: 60 Completely FREE Machine Learning Online Courses | reddit.com/r/learnmachinelearning | 2021-09-16
Get started with Machine Learning with Python - An introduction with Python programming examplesProject 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
Implementation of a series of Neural Network architectures in TensorFow 2.0Project mention: Why do practitioners still use regular tensorflow? [D] | reddit.com/r/MachineLearning | 2021-04-17
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.
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
Repository containing models based on ideas of Machine learning and Deep learning
:paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithmProject 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!
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
Jupyter Notebook neural-network related posts
Different Outputs on Mac M1 and Windows
1 project | reddit.com/r/tensorflow | 26 Nov 2021
Yet Another Voice Activity Detection Engine
1 project | reddit.com/r/speechrecognition | 27 Oct 2021
Assignment solutions for Stanford CS231n-Spring 2021
1 project | reddit.com/r/cs231n | 21 Oct 2021
AttributeError: module 'nemo.collections' has no attribute 'nlp'
1 project | reddit.com/r/speechrecognition | 18 Oct 2021
how to measure models predicition speed?
1 project | reddit.com/r/learnmachinelearning | 10 Oct 2021
TypeError: expecter Tensor as element 0 in argument 0, but got tuple
1 project | reddit.com/r/learnpython | 9 Oct 2021
Giveaway of a few of my digital paintings (OC, AI-aided, 1:1)
1 project | reddit.com/r/NFTsMarketplace | 4 Oct 2021
What are some of the best open-source neural-network projects in Jupyter Notebook? This list will help you:
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