zhongpeixiang Goto Github PK

a-hierarchical-latent-structure-for-variational-conversation-modeling

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

a-star-java

Automatically exported from code.google.com/p/a-star-java

affect-rich-conversational-model

The PyTorch code for paper: An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss

ai-nlp-paper-readings

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

ai00

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithmic_trading_book

2 books and related source codes for algorithmic trading.

angular.js

HTML enhanced for web apps

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

beacon-pfilter-simulation

Simulation of particle filter based location for beacons

blog

Personal Gatsby.js blog

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

canvas-lms

The open LMS by Instructure, Inc.

care

This repo contains the code for our work in AAAI 2021: CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts

chat_corpus

chat corpus collection from various open sources

chatgpt-next-web

ChatPaper

cikm-2019-analyticup

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

ckc

This repo contains the code for our work in AAAI 2021: Keyword-Guided Neural Conversational Model

conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations

cordova-plugin-tts

Cordova Text-to-Speech Plugin

cvae_dialogue_system

A PyTorch implementation of neural dialogue system using conditional variational autoencoder (CVAE)

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 140 universities.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

do_user_scripts

docs

TensorFlow documentation

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning