putama

gmm-clustering

Simple visualization of EM algorithm for gaussian mixture model clustering

got-charlevel-langmod

Generating Game of Thrones novel text using character level RNN language modeling

coarse2fine

Deep-Image-Analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

hierarchical-rnn-summarization

Hierarchical RNN for Document Summarization

OpenNLI

Open-source implementation of various neural textual entailment recognition models.

pytorch-examples

My toy model implementations to explore pytorch

rec-autoencoder-quora-pairs

Modified implementation of Recursive Autoencoder with Dynamic Pooling for Quora question pairs duplicate detection. The original code was written by Socher (2011)

Seq2SeqVideo2Text

Pytorch implementation for video captioning model

tccGAN

Temporally consistent cycle-GAN for videos2videos domain transfer

acl2020-confidence-regularization

fold

Deep learning with dynamic computation graphs in TensorFlow

gatech-cs4495

Gatech CS4495: Introduction to computer vision assignments

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

is13

RNN for Spoken Language Understanding

joint-slu-lm

Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.

kim

Knowledge-based Inference Model

lang2logic

models

Models built with TensorFlow

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

pgm4j

Simple Java implementation for graphical models and its application

putama.github.io

Personal blogging site

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch

sempre

Semantic Parser with Execution

seq2seq

Sequence to Sequence Learning with Keras

sippycup

SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.

text

Data loaders and abstractions for text and NLP

visualcomposition

Implementation of visual composition learning using joint visual-semantic embedding as part of my master's thesis

vsepp

PyTorch Code for the paper "VSE++: Improved Visual Semantic Embeddings"