Small HuiHui's repositories
KDD-Cup-Multimodalities-Recall
KDD Cup 2020
my-recommendation-system
Unofficial Implementation of Some Recommendation System Related Papers.
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Alpaca-CoT
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM。）
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
chinese-xinhua
:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。
cmake-examples
Useful CMake Examples
DQN-Beat-Atari
Keras/TensorFlow Implementation of an agent to beat Atari based on deep Q-Network.
euler
A distributed graph deep learning framework.
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。
KDD-Multimodalities-Recall
This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
models
Models and examples built with TensorFlow
NER-Evaluation
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
PromptKG
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
PyGCL
PyGCL: Graph Contrastive Learning Library for PyTorch
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility