Zhao Chuang's Projects
This is the public repo for 《Multi-dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-task Learning Approach》
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
some attention implements
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Paper Lists for Graph Neural Networks
Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由伯乐在线持续更新。
Must-read papers on recommendation systems (RecSys)
Learning Resources And Links Of Reinforcement Learning (updating)
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
大数据入门指南 :star:
[WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization
This is the code for our paper "BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers".
Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
pytorch implementation for Contrastive Adaptation Network
: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++
《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。
Sample data sets and codes are available after acceptance.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A curated list of data science blogs
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!