pbagherzadeh Goto Github PK

lr-gan.pytorch

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

lvae

Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"

medclip

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

meshheading2vec

MeSHHeading2vec: A new method for representing MeSH headings as vectors based on graph embedding algorithm

nebullvm

Accelerate AI models leveraging best-of-breed optimization techniques 🚀

nlp

My explorations in natural language processing

nnet-survival

Discrete-Time Survival Model for Neural Networks

path2vec

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

pbagherzadeh.github.io

pycox

Survival analysis with PyTorch

pyrdf2vec

🐍 Python Implementation and Extension of RDF2Vec

pytorch-capsulenet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

pytorch-dnc

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

pytorchtree

Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis

recurrent-independent-mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

rims

Code for "Recurrent Independent Mechanisms"

rnn-syn

Analogs of Linguistic Structure in Deep Representations

rntn

Sentiment Analysis via RNN, RNTN. Based on Stanford's Sentiment Analysis page.

rntn-1

Recursive Neural Tensor Network -- numpy-only version

routingnetworks

scaffolding

Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.

semeval-2016-task-5

sentana

Sentiment Analysis on Stanford Tree Bank

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seya

Bringing up some extra Cosmo to Keras.

srnn

Code for "Sequential Neural Models with Stochastic Layers"

text-classification-pytorch

Text classification using deep learning models in Pytorch

tf-idf_and_k-means

Text clustering with K-means and tf-idf

tf-nlp-blocks

Some frequently used NLP blocks I implemented

transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus