Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on infer…

Efficient and easy multi-instance LLM serving

SGLang is a fast serving framework for large language models and vision language models.

A Toolkit to Help Optimize Large Onnx Model

a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"

turnkey self-hosted offline transcription and diarization service with llm summary

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Fully-automated scripts for collecting AI-related papers

A collection of research papers and software related to explainability in graph machine learning.

CogDL: An Extensive Toolkit for Deep Learning on Graphs

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

A collection of important graph embedding, classification and representation learning papers with implementations.

A curated list of resources for graph databases and graph computing tools

Paper Lists for Graph Neural Networks

整理知识图谱相关学习资料

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

links to conference publications in graph-based deep learning

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.