Robert Bunn's repositories
A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
adv-attacks-pytorch-101
A small tutorial about performing adversarial attacks in PyTorch
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
arc-pytorch
PyTorch implementation of Attentive Recurrent Comparators
BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
coinbase-python
Coinbase Python API
DeepLearningImplementations
Implementation of recent Deep Learning papers
deformable-convolution-pytorch
PyTorch implementation of Deformable Convolution
DistributedES
Distributed implementation of popular evolutionary methods
dog-project
AIND Term 2 -- CNN Project
excitation_bp
Visualizing how deep networks make decisions
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
imgaug
Image augmentation for machine learning experiments.
lrp_toolbox
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
neuraltalk2.pytorch
image captioning model in pytorch(finetunable cnn in branch "with_finetune")
pyscatwave
Fast Scattering Transform with CuPy/PyTorch
pythonic_ocr
A convolutional neural network implemented in pure numpy.
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch_fft
PyTorch wrapper for FFTs