Stars
Code for Machine Learning for Algorithmic Trading, 2nd edition.
LlamaIndex is a data framework for your LLM applications
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。
code and data for the time series analysis vids on my YouTube channel
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
GraphVite: A General and High-performance Graph Embedding System
The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Dynamic Network Embedding by Modeling Triadic Closure Process
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"
A set of scripts to grab public datasets from resources related to arXiv
Data and code of the experiments for "Collective Spammer Detection in Evolving Multi-Relational Social Networks"
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Representation learning on dynamic graphs using self-attention networks
Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
Spatio-Temporal Graph Convolutional Networks
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
High level script for finding tweets using Python 3 and Tweepy