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Top 23 Jupyter Notebook Deep Learning Projects
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Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Project mention: Made with ML: how much time would it take to follow the whole course? | reddit.com/r/learnmachinelearning | 2023-01-31Hello fellow learners; the title says it all. Do you have experience completing the course? How much time do you think I should reserve to finish it? Thanks to anyone that will help :)
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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.
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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
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You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).
fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.
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See this closed topic for more detail: https://github.com/slundberg/shap/issues/29
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Project mention: Object detection with depth measurement using pre-trained models with OAK-D | reddit.com/r/computerscience | 2022-04-29
Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth
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Project mention: Fastai Chapter 4 - The important parts, Part 2: Building a regression model | dev.to | 2023-01-25
The book is available online here The course is accessible here
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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nn
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Project mention: [D] Recent ML papers to implement from scratch | reddit.com/r/MachineLearning | 2022-10-10 -
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Project mention: d-id.com is an awesome AI tool to animate any character into a video and add human-like, yet artificial, voice-overs ! | reddit.com/r/artificial | 2023-01-08 -
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Project mention: A small example from Tacotron2 trained on Brandon "Atrioc" Ewing | reddit.com/r/artificial | 2022-07-08GitHub Used: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2
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amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Project mention: Study Plan to pass exam AWS Machine Learning Specialty exam with tips and advice | dev.to | 2022-11-03It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)
Project mention: What is the most human-souding TTS option in Archlinux, available through arch repos and AUR? | reddit.com/r/archlinux | 2023-01-23 -
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H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Project mention: Best machine learning framework(s) for production | reddit.com/r/learnmachinelearning | 2022-12-05Thanks for the input. To clarify, I am more focused on choosing the modeling framework(s) that makes the most sense to use for future production. For example, is h2o.ai a good framework for training models for later deployment (through something like elastic beanstalk, Flask API's etc.)? I came across a number of mentions of Tensorflow, however it is focused on neural nets while I also want to use classic models such as random forests, etc.
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Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Project mention: Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag | reddit.com/r/algoprojects | 2023-02-02 -
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Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The set up script wants to download https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-model-en-v0.3.45.zip, but this resource is not found. AFAICT all releases never contained a model file. Remedy: hardcode one model from https://alphacephei.com/vosk/models. I guessed and picked the one with the closest name, vosk-model-en-us-0.22.zip, just so I could continue.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook Deep Learning related posts
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- Looking for tips on creating animated output with face capture/lipsync
- coursera-deep-learning-specialization: NEW Courses - star count:1720.0
- stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:250.0
- With this GAN-based approach I was able to clone an ability to modify human face featured in the viral FaceApp app in a pretty competitive way. I'm totally impressed how far this technology can go... My Github AI repo: https://github.com/PsorTheDoctor/artificial-intelligence
- coursera-deep-learning-specialization: NEW Courses - star count:1720.0
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A note from our sponsor - SonarQube
www.sonarqube.org | 3 Feb 2023
Index
What are some of the best open-source Deep Learning projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | TensorFlow-Examples | 42,470 |
2 | Made-With-ML | 32,228 |
3 | handson-ml | 24,961 |
4 | fastai | 23,335 |
5 | shap | 18,392 |
6 | learnopencv | 17,848 |
7 | fastbook | 17,136 |
8 | nn | 16,789 |
9 | first-order-model | 12,999 |
10 | DeepLearningExamples | 10,149 |
11 | TensorFlow-Tutorials | 9,115 |
12 | computervision-recipes | 8,821 |
13 | amazon-sagemaker-examples | 7,820 |
14 | machine-learning-for-trading | 6,691 |
15 | TTS | 6,637 |
16 | pytorch-Deep-Learning | 6,260 |
17 | H2O | 6,123 |
18 | Stock-Prediction-Models | 5,783 |
19 | introtodeeplearning | 5,683 |
20 | docs | 5,589 |
21 | models | 5,451 |
22 | Practical_RL | 5,217 |
23 | vosk-api | 5,107 |