KobeDeShow's starred repositories
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,50余万字。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
Company-Names-Corpus
公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。可用于中文分词、机构名实体识别。
hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Densely-Connected-CNN-with-Multiscale-Feature-Attention
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
100-Days-Of-ML-Code
100 Days of ML Coding
NeuralResponseRanking
Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)
NeuralResponseRanking
Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
TensorFlowLaboratory
Research about Tensorflow
Deep-and-Cross-Keras
Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
wikipedia2vec
A tool for learning vector representations of words and entities from Wikipedia
keras-text
Text Classification Library in Keras
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations