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cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

cse103-code

This is code to be shared with the students in CSE103

cyclical_annealing

deep-generative-models-implement

Implementation for Some Deep Generative Models

deepul

deepwalk

DeepWalk - Deep Learning for Graphs

dg_mmld

Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains

graph_clustering_spatial_data

language-modelling-cse291-as2

Language Modeling using VAEs and RNN for assignment 2, CSE 291: Advanced NLP

le_semantic_transfer

An implementation of DANN with pytorch

moodle_plus

node2vec

spoon-knife

This repo is for demonstration purposes only.

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

theartofhpc_pdfs

All pdfs of Victor Eijkhout's Art of HPC books and courses

torchfly-1

PyTorch Development Tool

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vae-lagging-encoder

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

vae-pytorch

Some basic implementations of Variational Autoencoders in pytorch

vae-pytorch-1

Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch