XieJunJie's repositories
Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
trax
Trax — Deep Learning with Clear Code and Speed
dlrm
An implementation of a deep learning recommendation model (DLRM)
interviews
Everything you need to know to get the job.
java-design-patterns
Design patterns implemented in Java
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
RSPapers
Must-read papers on Recommender System.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Learn-Algorithms
算法学习笔记
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
libpku
贵校课程资料民间整理
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
java-algorithms-implementation
Algorithms and Data Structures implemented in Java
Reco-papers
Classic papers and resources on recommendation
ShadowsocksX-NG-R
Next Generation of ShadowsocksX
Recommendation-systems-paperlist
Papers about recommendation systems that I am interested in
nni
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
QuestForMachineLearning-Camp
深度之眼《百面机器学习》训练营
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
bilm-tf
Tensorflow implementation of contextualized word representations from bi-directional language models
DIEN-pipline
DIEN-pipline implement
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
models
Models and examples built with TensorFlow
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials