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。
MachineLearning
Basic Machine Learning and Deep Learning
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
awesome-speech-recognition-speech-synthesis-papers
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
bert
TensorFlow code and pre-trained models for BERT
CodingInterviewChinese2
《剑指Offer》第二版源代码
constrained_decoding
Lexically constrained decoding for sequence generation using Grid Beam Search
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
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.
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.
targeted-supcon
A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition