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Top 7 Jupyter Notebook deep-learning-tutorial Projects
🧑🏫 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
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://firstname.lastname@example.org.
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Videos, notes and experiments to understand deep learning (by roatienza)Project mention: EEE 197 - Deep Learning | reddit.com/r/peyups | 2022-08-25
Hello, took the course last sem. Maraming napa-drop sa amin dahil sa difficulty nung assignments pero doable naman. Open-source mismo yung course, available sya sa GitHub: https://github.com/roatienza/Deep-Learning-Experiments
Train a state-of-the-art yolov3 object detector from scratch!
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.Project mention: Tools to use for Semantic-searching Question Answering System | reddit.com/r/learnprogramming | 2022-04-23
Check out adaptnlp
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
Use Transformers and LSTMs to learn Python source code
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Jupyter Notebook deep-learning-tutorial related posts
[D] Recent ML papers to implement from scratch
1 project | reddit.com/r/MachineLearning | 10 Oct 2022
[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
1 project | reddit.com/r/MachineLearning | 20 Aug 2022
[P] Fine-tuned the GPT-Neox Model to Generate Quotes
1 project | reddit.com/r/MachineLearning | 11 Aug 2022
Best resources to learn recent transformer papers and stay updated [D]
1 project | reddit.com/r/MachineLearning | 24 Jul 2022
Introductory papers to implement
1 project | reddit.com/r/learnmachinelearning | 19 Jun 2022
How to convert research papers to code?
1 project | reddit.com/r/MLQuestions | 23 Apr 2022
[D] How to convert papers to code?
1 project | reddit.com/r/MachineLearning | 23 Apr 2022
A note from our sponsor - Zigi
www.zigi.ai | 2 Dec 2022
What are some of the best open-source deep-learning-tutorial projects in Jupyter Notebook? This list will help you: