Top 23 Jupyter Notebook Deep Learning Projects
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A linear regression model
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Standing recommendation for beginners (we should eventually make a wiki) is https://madewithml.com/
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Scout APM
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.
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Project mention: Good practices for neural network training: identify, save, and document best models | dev.to | 2022-01-04
If you are unaware of what fastai is, its official description is:
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Project mention: [Q] What's the community's opinion of "interpretable ML/AI"? | reddit.com/r/statistics | 2022-01-14
I've become a zealot about parametric stats, specifically from the Bayesian paradigm. Something about studying the core business problem, choosing the best distribution(s), and making inferences has been really rewarding for me. But increasingly, I'm seeing tools like SHAP, which allegedly enable users of black-box ML models to intuit what/how their models "think". (SHAP is just one example.)
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I’m a fan of fast book by fastai.
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first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
There's a free tool for everyone to play with on github that the authors of the paper First Motion Model For Image Animation made. It does require a little bit of python/github knowledge. https://github.com/AliaksandrSiarohin/first-order-model I talk about it in my Tom Cruise video a bit. The new goat vid is pretty great as always
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The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
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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.
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2 packages I want to mention is pandas-profiling and Mito.
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Project mention: I made a YT video showing how to host your own super accurate (microsecond) network time (NTP) server using the PPS output of a $12 GPS module | reddit.com/r/selfhosted | 2022-01-13
Love this kind of project. To me this is just like https://github.com/open-quantum-safe/oqs-demos/ or https://github.com/OpenMined/PySyft or even k3s so often mentioned in this sub in the sense that I personally don't have a need for it. Yet I find it amazing that us, random curious geeks, have access to this kind of mind blowing technologies for basically free.
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nn
🧑🏫 50! 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] Looking for open source projects to contribute | reddit.com/r/MachineLearning | 2022-01-09 -
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.
Built and founded various web3 projects for last 2 years such as OpenArt and 8RealmDojo for last 2 years as well as being high performing student in CTU in Prague and SeoulTech. Was offered internships in Amazon and H2O.ai. Created robots assistants using robots from SoftBank.
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Project mention: A collection of some of the best PyTorch courses for beginners to learn PyTorch online | reddit.com/r/pytorch | 2021-07-27
And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Project mention: Ich werde bald, vorrausichtlich noch dieses Jahr, stumm werden. Was nun? | reddit.com/r/de | 2022-01-15 -
Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:5136.0 | reddit.com/r/algoprojects | 2022-01-18
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Project mention: Anyone willing to help me out on a discord call or something? | reddit.com/r/learnmachinelearning | 2021-05-27
This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md
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I remember that there was a lecture in the MIT intro course. https://github.com/aamini/introtodeeplearning/tree/master/lab1
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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 | 2021-11-08 -
Project mention: Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having... | reddit.com/r/tensorflow | 2021-10-27
Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.
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Intel BigDL for Spark which again is for Spark.
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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
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Project mention: What is Probabilistic Programming? | reddit.com/r/learnmachinelearning | 2021-09-06
This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing
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Looks like a nice project. I just bookmarked it to try sometime.
At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.
Jupyter Notebook Deep Learning related posts
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- 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
- Does mit 6.824 help for distributed deep learning?
- coursera-deep-learning-specialization: NEW Courses - star count:818.0
- 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
- [Q] What's the community's opinion of "interpretable ML/AI"?
- error: the following arguments are required: -i/--input-path, -o/--output-path How to define these?
Index
What are some of the best open-source Deep Learning projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | TensorFlow-Examples | 41,573 |
| 2 | MadeWithML | 29,372 |
| 3 | fastai | 21,812 |
| 4 | shap | 15,107 |
| 5 | fastbook | 14,148 |
| 6 | first-order-model | 12,076 |
| 7 | TensorFlow-Tutorials | 8,941 |
| 8 | pandas-profiling | 8,399 |
| 9 | PySyft | 7,871 |
| 10 | nn | 6,030 |
| 11 | H2O | 5,691 |
| 12 | pytorch-Deep-Learning | 5,616 |
| 13 | TTS | 5,517 |
| 14 | machine-learning-for-trading | 5,147 |
| 15 | docs | 5,045 |
| 16 | introtodeeplearning | 4,986 |
| 17 | Practical_RL | 4,763 |
| 18 | Stock-Prediction-Models | 4,759 |
| 19 | models | 4,294 |
| 20 | BigDL | 3,824 |
| 21 | NeMo | 3,771 |
| 22 | probability | 3,571 |
| 23 | adanet | 3,351 |
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