zurutech / gans-from-theory-to-productionLinks
Material for the tutorial: "Deep Diving into GANs: from theory to production"
☆209Updated 2 years ago
Alternatives and similar repositories for gans-from-theory-to-production
Users that are interested in gans-from-theory-to-production are comparing it to the libraries listed below
Sorting:
- Contains my explorations of TensorFlow 2.x☆380Updated 3 years ago
- ☆169Updated 6 years ago
- Machine learning notebooks in different subjects optimized to run in google collaboratory☆372Updated 5 years ago
- BiGAN implementation in Keras to detect similarities in Landscapes.☆174Updated 6 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆184Updated 5 years ago
- ☆107Updated 7 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆265Updated 6 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆280Updated 2 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆67Updated 6 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Notebooks for upcoming fastai book (draft / incomplete)☆164Updated 5 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- 🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.☆176Updated 10 months ago
- An intuitive approach to creating deep learning models☆372Updated 2 years ago
- This repository provides the necessary code to create your own Google Images Dataset.☆115Updated 7 years ago
- OLD REPO - PLEASE USE fastai/fastai☆181Updated 3 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 6 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆279Updated 7 years ago
- Practical Notebooks for the Deep Learning Indaba 2018☆146Updated 7 years ago
- Pytorch Cheatsheet☆91Updated 7 years ago
- A few notebooks about deep learning in pytorch☆593Updated 6 years ago
- "Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation☆69Updated 6 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆146Updated 5 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 6 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- ☆268Updated 5 years ago
- CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.☆112Updated 5 years ago
- Machine learning algorithms☆113Updated 6 years ago