ReneeYe

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

models

Models and examples built with TensorFlow

nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

bert

TensorFlow code and pre-trained models for BERT

insightface

State-of-the-art 2D and 3D Face Analysis Project

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

language

Shared repository for open-sourced projects from the Google AI Language team.

nlg-eval

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

berkeley-doc-summarizer

The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference constraints to ensure clarity.

sumeval

Well tested & Multi-language evaluation framework for text summarization.

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

NLP-Papers

Natural Language Processing Papers

Bayesian_neural_network_papers

Papers for Bayesian-NN

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

GetToThePoint

Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"

data2text-entity-py

Code for ACL 2019 paper on Data-to-text Generation with Entity Modeling

OrthNet

TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials

mae

MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders

VariationalAutoRegressive

Code for EMNLP-2018 paper "Variational Autoregressive Decoder for Neural Response Generation"

SocialNetwork

espn-nba-data

Data used in paper "Operations Guided Neural Networks for High Fidelity Data-to-Text Generation"