ptrblck / gan-intro-pytorch
Intro to Generative Adversarial Networks in Pytorch
☆29Updated 5 years ago
Alternatives and similar repositories for gan-intro-pytorch:
Users that are interested in gan-intro-pytorch are comparing it to the libraries listed below
- Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.☆42Updated 4 years ago
- Code for replication of the paper "GANs beyond divergence minimization"☆21Updated 6 years ago
- A regular Tiramisu network for PyTorch with a LOT of extra features!☆42Updated 3 years ago
- Export TensorFlow logs to common easy to read formats (csv-files, png-images, ...)☆28Updated 6 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆71Updated 6 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- Re-implementation of local descriptor HardNet training in fasta2+kornia☆21Updated 4 years ago
- ☆21Updated 4 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'☆51Updated 4 years ago
- Unofficial Keras implementation of the paper Attentive Normalization.☆29Updated 4 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 4 years ago
- DataLoader subclass for PyTorch to work with HDF5 files.☆49Updated 5 years ago
- All notebook for FastAI learning purposes.☆15Updated 5 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆23Updated 4 years ago
- This tool dumps images in tensorboard☆17Updated 4 years ago
- Experiments on different dataset on how to grow networks during training to learn new image categories.☆62Updated 4 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆45Updated 2 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- ☆72Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- My personal toolbox for doing datascience (especially deep learning) in python.☆17Updated 4 years ago
- TensorFlow implementation of entropy SGD☆11Updated 6 years ago
- ☆18Updated 6 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 3 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆82Updated 3 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆48Updated 3 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- Deep learning tutorial☆29Updated 7 years ago