kingofspace0wzz

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

transformer-xl

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch-openai-transformer-lm

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

paper-learning-to-pivot

Repository for the paper "Learning to Pivot with Adversarial Networks"

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.

spectral-graph-part-report

Project report for "Spectral Graph Partitioning and its application in Image Segmentation"

controllable-factorVAE

Code and report of project "Controlable-Factorized VAE"

topicsne

t-SNE experiments in pytorch

fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

normalizing-flows

Understanding normalizing flows

variance_reduced_neural_networks

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

var-attn

Latent Alignment and Variational Attention

cs162-tutorials

Tutorials for Fall 2018

plat

variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

capsule_attention

NAF

Experiments for the Neural Autoregressive Flows paper

meshpart

Mesh Partitioning Toolbox

cs130a

numerical-simulation

Code of some basic numerical methods for solving ordinary differential equations.

AccSGD

Implements pytorch code for the Accelerated SGD algorithm.

multilayer_nmf

My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function that finds the latent sturcture embedding in the original data unsupervisely.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

algorithms_and_data_structures

180+ Algorithm & Data Structure Problems using C++

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning