jaiabhayk's repositories
pytorch-adversarial_box
PyTorch library for adversarial attack and training
relational-rnn-pytorch
An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
sngan_projection
GANs with spectral normalization and projection discriminator
pygcn
Graph Convolutional Networks in PyTorch
pnn.pytorch
PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
graph-cnn.pytorch
Pytorch Implementation for Graph Convolutional Neural Networks
VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
requests-for-research
A living collection of deep learning problems
sumproduct
Sum product algorithm - Belief propagation (message passing) for factor graphs
generativevideorepo
A repo of generative video method paper
pyro
Deep universal probabilistic programming with Python and PyTorch
pytorch-spectral-normalization-gan
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
lightning
Large-scale linear classification, regression and ranking in Python
vmp-for-svae
Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
AECF
AE CF Project
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
tensorboard_logger
Log TensorBoard events without touching TensorFlow
BinaryNet.pytorch
Binarized Neural Network (BNN) for pytorch
BMXNet
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
binary-stochastic-neurons
Binary Stochastic Neurons in PyTorch
Embedded-Neural-Network
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
BoilerPlate
Odds and Ends and Things I've implemented.
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.
DIGITS
Deep Learning GPU Training System