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Ruizhe Li's Projects

alpha-gan icon alpha-gan

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

anuvada icon anuvada

Interpretable Models for NLP using PyTorch

blockchain_guide icon blockchain_guide

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

ca-lda icon ca-lda

A Mallet fork with support for CA-LDA described in paper: Immersive Recommendation at WWW'2016

contiguous-succotash icon contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

drlm icon drlm

A latent variable RNN model for discourse-driven language modeling

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

han-pytorch icon han-pytorch

(Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch

hed-dlg-truncated icon hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hr-vae icon hr-vae

Code for the paper "A Stable Variational Autoencoder for Text Modelling"

jas icon jas

Code associated with our EMNLP 2013 paper, "A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication"

kitnet-py icon kitnet-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

learn_dl icon learn_dl

Deep learning algorithms source code for beginners

lstm icon lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

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