Pinned Repositories
awesome-graph-structure-learning
A collection of research papers related to graph structure learning(GSL).
CTF_WiKi
Mice_of_Algorithm
nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
NewsPicGen
通过中文新闻原文生成prompt
Notes_About_Graph
Notes on Contrastive Learning(CL)
PodcaSphere
2021Sohu_Text_Matching
2021搜狐校园文本匹配算法大赛决赛第八名解决方案
Awesome_LLM_System-PaperList
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 inference acceleration, and related works will be gradually added in the future. Welcome contributions!
sglang
SGLang is a fast serving framework for large language models and vision language models.
blacker521's Repositories
blacker521/awesome-graph-structure-learning
A collection of research papers related to graph structure learning(GSL).
blacker521/PodcaSphere
blacker521/Mice_of_Algorithm
blacker521/nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
blacker521/NewsPicGen
通过中文新闻原文生成prompt
blacker521/Notes_About_Graph
Notes on Contrastive Learning(CL)
blacker521/AI-Paper-Collector
Fully-automated scripts for collecting AI-related papers
blacker521/AutoFP8
blacker521/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
blacker521/awesome-graph
A curated list of resources for graph databases and graph computing tools
blacker521/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
blacker521/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
blacker521/awesome-knowledge-graph
整理知识图谱相关学习资料
blacker521/awesome-llm-resources
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"
blacker521/Awesome_LLM_System-PaperList
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 inference acceleration, and related works will be gradually added in the future. Welcome contributions!
blacker521/blacker521
Resume
blacker521/Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
blacker521/cogdl
CogDL: An Extensive Toolkit for Deep Learning on Graphs
blacker521/gcn-lrp
blacker521/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
blacker521/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
blacker521/LLMGateway
blacker521/llumnix-sglang
Efficient and easy multi-instance LLM serving
blacker521/LRP2A
blacker521/OnnxSlim
A Toolkit to Help Optimize Large Onnx Model
blacker521/pytorch-GANs
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
blacker521/pytorch-GAT
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 entropy histograms. I'll add an inductive example (PPI) soon as well.
blacker521/sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
blacker521/sglang
SGLang is a fast serving framework for large language models and vision language models.
blacker521/transcriptionstream
turnkey self-hosted offline transcription and diarization service with llm summary