Dongdi Zhao (YoPatapon)

YoPatapon

Geek Repo

Company:Alibaba

Location:Beijing, China

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Dongdi Zhao's repositories

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。

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CopyNet

CopyNet for sql2nl generation

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

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MachineLearning

Basic Machine Learning and Deep Learning

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wer_are_we

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

acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

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allennlp

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

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awesome-speech-recognition-speech-synthesis-papers

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

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bert

TensorFlow code and pre-trained models for BERT

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CodingInterviewChinese2

《剑指Offer》第二版源代码

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constrained_decoding

Lexically constrained decoding for sequence generation using Grid Beam Search

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deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

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fairseq

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

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GCommandsPytorch

ConvNets for Audio Recognition using Google Commands Dataset

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gt-nlp-class

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

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Interactive-Semantic-Parsing

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

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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

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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.

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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.

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pytorch-metric-learning

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

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pytorch-pretrained-BERT

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

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targeted-supcon

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

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