A library for efficient similarity search and clustering of dense vectors.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A curated list of community detection research papers with implementations.

Let us control diffusion models

Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023

Curated list of awesome tools, demos, docs for ChatGPT and GPT-3

A simple prompt-chatting AI based on wechaty and fintuned NLP model

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Official Implement of "ADBench: Anomaly Detection Benchmark".

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，ConvSeq2Seq，BERT，MacBERT，ELECTRA，ERNIE，Transformer，T5等模型实现，开箱即用。

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Create UIs for your machine learning model in Python in 3 minutes

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Translation of the book,"Spark-The-Definitive-Guide", from English into Chinese. 书籍 《Spark权威指南》翻译

A curated list of awesome Flask resources and plugins

Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

Latex code for making neural networks diagrams

PyTorch implementation of AnimeGANv2

A game theoretic approach to explain the output of any machine learning model.

Papers about explainability of GNNs

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A library for graph deep learning research

Fit interpretable models. Explain blackbox machine learning.

Explanation method for Graph Neural Networks (GNNs)

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf