Pinned Repositories
Artificial_Intelligence
some algorithm in AI
awesome-courses
:books: List of awesome university courses for learning Computer Science!
bseg
自动新词发现算法
Data-Analysis
deepnlp
Deep Learning NLP Pipeline implemented on Tensorflow
dlbook_notation
LaTeX files for the Deep Learning book notation
docs
TensorFlow documentation
dssm_model
dssm_model
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
faiss
A library for efficient similarity search and clustering of dense vectors.
kangjieHong's Repositories
kangjieHong/Artificial_Intelligence
some algorithm in AI
kangjieHong/awesome-courses
:books: List of awesome university courses for learning Computer Science!
kangjieHong/bseg
自动新词发现算法
kangjieHong/Data-Analysis
kangjieHong/deepnlp
Deep Learning NLP Pipeline implemented on Tensorflow
kangjieHong/dlbook_notation
LaTeX files for the Deep Learning book notation
kangjieHong/docs
TensorFlow documentation
kangjieHong/dssm_model
dssm_model
kangjieHong/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
kangjieHong/faiss
A library for efficient similarity search and clustering of dense vectors.
kangjieHong/gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
kangjieHong/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
kangjieHong/models
Models and examples built with TensorFlow
kangjieHong/Network_Tips
kangjieHong/opencv
Open Source Computer Vision Library
kangjieHong/sego
Go中文分词
kangjieHong/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
kangjieHong/Wiki
计划/资料/总结/资源
kangjieHong/zh-NER-TF
A simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)