pyoungkangkim / Generative-Deep-Learning-Code-in-PytorchLinks
The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
☆184Updated 5 years ago
Alternatives and similar repositories for Generative-Deep-Learning-Code-in-Pytorch
Users that are interested in Generative-Deep-Learning-Code-in-Pytorch are comparing it to the libraries listed below
Sorting:
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆265Updated 6 years ago
- Implementation of papers on Deep Seq2seq learning using Pytorch.☆218Updated 6 years ago
- A demonstration of the attention mechanism with some toy experiments and explanations.☆107Updated 7 years ago
- Repository for tutorial sessions at EEML2020☆270Updated 4 years ago
- Deep learning course CE7454, 2019☆191Updated 6 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- ☆196Updated last year
- Tricks for Colab power users☆168Updated 5 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 6 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 4 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆67Updated 6 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- An implementation of convolutional networks in NumPy!☆81Updated 4 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆573Updated 3 years ago
- PyTorch functions and utilities to make your life easier☆194Updated 4 years ago
- Books, papers and links to latest research in ML/AI☆91Updated last year
- Pytorch Cheatsheet☆91Updated 7 years ago
- A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!☆99Updated 2 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆94Updated last year
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆391Updated 10 months ago
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- Template for data generator with PyTorch☆135Updated 7 years ago
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆123Updated 7 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 6 years ago
- Notebooks for upcoming fastai book (draft / incomplete)☆164Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago