jhui / deep_learningLinks
☆86Updated 2 years ago
Alternatives and similar repositories for deep_learning
Users that are interested in deep_learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 7 years ago
- A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)☆62Updated 7 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing☆221Updated 6 years ago
- [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".☆168Updated 5 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 6 years ago
- My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules☆91Updated 7 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆127Updated 7 years ago
- A tutorial-style implementation of CapsNet in PyTorch☆105Updated 5 years ago
- visualization of CNN in PyTorch☆155Updated last year
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow☆243Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- Some example scripts on pytorch☆198Updated 3 years ago
- A collection of small code snippets for learning how to code☆58Updated 7 years ago
- My personal toolkit for PyTorch development.☆128Updated 7 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversaria…☆111Updated 7 years ago
- Pytorch implementation of fine tuning pretrained imagenet weights☆143Updated 6 years ago
- Tensorflow implementation of paper "unsupervised image to image translation networks"☆69Updated 7 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆179Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- ☆79Updated 7 years ago
- Batch Renormalization algorithm implementation in Keras☆98Updated 6 years ago
- Corrupted labels and label smoothing☆129Updated 7 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 6 years ago