Bo Wang's repositories
mlimpl
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
django-shop
A Django based shop system
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
tf_repos
TensorFlow Script
VIE
Codes for "Unsupervised Learning from Video with Deep Neural Embeddings"
GNNPapers
Must-read papers on graph neural networks (GNN)
Ad-papers
Papers on Computational Advertising
flink-learning
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
architecture.of.internet-product
互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/Google/Facebook/Amazon/eBay的架构，欢迎PR补充
exercise
exercise for nndl
models
Models and examples built with TensorFlow
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Kashgari
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
PyTorch-Course
JULYEDU PyTorch Course
pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
pkuseg-python
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
2019-Autumn-recruitment-experience
2019届秋招面经集合
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
tutorials
机器学习相关教程
kmeans
K Means Clustering with Python
sklearn_tutorial
Materials for my scikit-learn tutorial
HMM-Stock-Predictor
HMMLearn used against Tesla Stocks for Prediction
Genetic-Algorithm-for-automated-hyperparameter-tuning
Genetic algorithm for hyper parameter tuning of a deep Neural Network using Tensorflow