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Name: Small HuiHui
Type: User
Name: Small HuiHui
Type: User
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.
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 related books, papers, videos, and toolboxes
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
A curated list of automated machine learning papers, articles, tutorials, slides and projects
An index of algorithms for learning causality with data
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
A curated list of awesome self-supervised methods
A curated list for awesome self-supervised learning for graphs.
Bert-based text classification
C3D is a modified version of BVLC tensorflow to support 3D ConvNets.
A library of sklearn compatible categorical variable encoders
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
:orange_book: 中华新华字典数据库。包括歇后语,成语,词语,汉字。
中文机器阅读理解数据集
Useful CMake Examples
cs231n assignments
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for the CVPR Paper "Deep Layer Aggregation"
Keras/TensorFlow Implementation of an agent to beat Atari based on deep Q-Network.
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
A distributed graph deep learning framework.
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
A curated list of fraud detection papers using graph information or graph neural networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.