kj141

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

TheArtofHPC_pdfs

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

deepul

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

tuning_playbook

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

deep-unsupervised-learning-berkeley-2020

Deep Unsupervised Learning Course Tracking

graph_clustering_spatial_data

Language-Modelling-CSE291-AS2

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

vae-lagging-encoder

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

cyclical_annealing

Deep-Generative-Models-Implement

Implementation for Some Deep Generative Models

node2vec

deepwalk

DeepWalk - Deep Learning for Graphs

dg_mmld

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

CSE103-code

This is code to be shared with the students in CSE103

VAE-PyTorch-1

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

TorchFly-1

PyTorch Development Tool

CDAN

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

vae-pytorch

Some basic implementations of Variational Autoencoders in pytorch

le_semantic_transfer

An implementation of DANN with pytorch

Moodle_Plus

Spoon-Knife

This repo is for demonstration purposes only.