QingGeGe

Pinned Repositories

100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Language:Jupyter Notebook00
100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
Language:Python00
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Language:Python00
arctic-captions
Language:Python00
awesome-awesomeness
A curated list of awesome awesomeness
00
beginlearning
Practices for machine learning
Language:JavaScript00
Bidirectional-LSTM-CRF-for-Clinical-Concept-Extraction
Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data
Language:Python00
BLSTM-for-supervised-sequence-recognition
General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data
Language:Python00
caffe-windows
Configure Caffe in one hour for Windows users.
Language:C++00
char-rnn-chinese
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
Language:Lua00

QingGeGe's Repositories

QingGeGe/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Language:Jupyter Notebook00
QingGeGe/100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
Language:Python00
QingGeGe/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Language:Python00
QingGeGe/Bidirectional-LSTM-CRF-for-Clinical-Concept-Extraction
Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data
Language:Python00
QingGeGe/caffe-windows
Configure Caffe in one hour for Windows users.
Language:C++00
QingGeGe/concrete_NLP_tutorial
An NLP workshop about concrete solutions to real problems
Language:Jupyter Notebook
QingGeGe/Conv-KNRM
Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search
Language:Python1 0
QingGeGe/Coursera-ML-AndrewNg-Notes
Language:HTML
QingGeGe/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeX
QingGeGe/deeplearningbook-chinese
Deep Learning Book Chinese Translation
Language:TeX
QingGeGe/DeepST
Deep Learning for Spatio-Temporal Data
Language:Python
QingGeGe/DeepST-1
Reconstruction of DeepST
Language:Python
QingGeGe/K-NRM
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
QingGeGe/Kernel-Based-Neural-Ranking-Models
QingGeGe/knrm
QingGeGe/LangueOne
练习题︱基于今日头条开源数据的文本挖掘
Language:Python
QingGeGe/LSTM-CRF-models
LSTM-CRF models for sequence labeling in text.
Language:Python
QingGeGe/mxnet_mtcnn_face_detection
MTCNN face detection
Language:Python
QingGeGe/nea
Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks
Language:Python
QingGeGe/nlp_base
自然语言基本模型
Language:Python
QingGeGe/nlp_course
YSDA course in Natural Language Processing
Language:Jupyter Notebook
QingGeGe/nn4nlp-code
Code Samples from Neural Networks for NLP
Language:Python
QingGeGe/Python
All Algorithms implemented in Python
Language:Python
QingGeGe/similar_sentence
好未来-自然语言处理训练营第一周任务
Language:Python
QingGeGe/tensorflow
图解tensorflow 源码
QingGeGe/text_matching
常用文本匹配模型tf版本，数据集为QA_corpus，持续更新中
QingGeGe/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Language:Jupyter Notebook
QingGeGe/tf_repos
TensorFlow Script
QingGeGe/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
QingGeGe/visual_turing_test-tutorial
Tutorial for Visual Turing Test (visual question answering, image question answering).
Language:Python