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acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

allennlp

An open-source NLP research library, built on PyTorch.

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

bert

TensorFlow code and pre-trained models for BERT

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

codinginterviewchinese2

《剑指Offer》第二版源代码

constrained_decoding

Lexically constrained decoding for sequence generation using Grid Beam Search

copynet

CopyNet for sql2nl generation

data-mining

deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gcommandspytorch

ConvNets for Audio Recognition using Google Commands Dataset

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

interactive-semantic-parsing

Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning

interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

machine-learning-homework

图像分类系统，采用HOG+SVM/Sotfmax分类器，神经网络采用卷积神经网络和34层的深度参查网络，利用基于tensorflow的tflearn实现。

machinelearning

Basic Machine Learning and Deep Learning

markdown-pictures

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlpir

paws

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

pit-speech-separation

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

simnet

targeted-supcon

A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition

timit

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.