Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
AACL-IJCNLP2022-KGC-Tutorial
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
AIgrads
This is a niche collection of research papers which are proven to be gradients pushing the field of Natural Language Processing, Deep Learning and Artificial Intelligence
Algorithm-Interview
经典算法&面试题的源代码实现项目
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithms
Minimal examples of data structures and algorithms in Python
Applied-Deep-Learning
Applied Deep Learning Course
RAG-Survey-pku
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
csshali's Repositories
csshali/KENLG-Reading
Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.
csshali/awesome-dl-projects
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
csshali/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
csshali/emrQA
Code for the emrQA question answering dataset
csshali/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
csshali/Python_EDA
csshali/Distributed-system-assigments
csshali/KnowledgeEditor
Code for Editing Factual Knowledge in Language Models
csshali/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
csshali/Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
csshali/awesome-federated-learning
resources about federated learning and privacy in machine learning
csshali/awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
csshali/lm-as-kb
Code for the paper: Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries (EACL 2021)
csshali/Awesome-DL-Information-Cascades-Modeling
csshali/starter-hugo-academic
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
csshali/awesome-distributed-systems
A curated list to learn about distributed systems
csshali/PLMPapers
A paper list of pre-trained language models (PLMs).
csshali/Gradient-Compression
We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while maintaining the performance of vanilla SGD. We empirically evaluate the performance of the compression methods by training deep neural networks on the CIFAR10 dataset.
csshali/Federated-Learning
联邦学习
csshali/grace
GRACE - GRAdient ComprEssion for distributed deep learning
csshali/awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
csshali/Awesome-Federated-Learning-1
Federated Learning Library: https://fedml.ai
csshali/NLPedia-Pretrain
csshali/awesome-pretrained-models-for-information-retrieval
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
csshali/Python
All Algorithms implemented in Python
csshali/leetcode-3
Python & JAVA Solutions for Leetcode
csshali/Awesome-Learning-Resource
A curated list of all kinds of learning resources, blogs, books, videos and so on. And I'll keep it up to date. 😉
csshali/awesome-nas-papers
Awesome Neural Architecture Search Papers
csshali/GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
csshali/mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).