napsternxg / pytorch-practiceLinks
Some example scripts on pytorch
☆198Updated 3 years ago
Alternatives and similar repositories for pytorch-practice
Users that are interested in pytorch-practice are comparing it to the libraries listed below
Sorting:
- Implementation of VLAE☆215Updated 7 years ago
- ☆153Updated 7 years ago
- ☆62Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated 10 months ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Pytorch exercises☆97Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆131Updated 6 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- ☆79Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆143Updated 2 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago