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BUPT
- Beijing
- https://gawainx.github.io
Starred repositories
SGLang is a fast serving framework for large language models and vision language models.
FlashInfer: Kernel Library for LLM Serving
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Curated list of Go design patterns, recipes and idioms
PyCIL: A Python Toolbox for Class-Incremental Learning
🦄 🎃 👻 Surge 规则集(DOMAIN-SET 和 RULE-SET),适用于 Surge for iOS 和 Surge for Mac 客户端。
BUPTGraduateThesis提供北京邮电大学研究生学位论文LaTeX文档类,其符合北邮研究生院2014年11月发布的《关于研究生学位论文格式的统一要求》,目前已根据2017年标准修正格式、添加英文扉页,已根据2023年标准修正格式、添加答辩小组名单页,已根据2024年标准修正格式
A LaTeX Template for BUPT Bachelor Thesis (updated in 2023)
⛷ Lightweight Markdown app to help you write great sentences. ⛷ 轻灵的 Markdown 笔记本伴你写出妙言
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
This is a repository of knowledge graphs survey paper that will be updated periodically.
Several data modalities for KBs (visual, numerical, temporal, etc.)
✯ 可直连访问的电视/广播图标库与相关工具项目 ✯ 🔕 永久免费 直连访问 完整开源 不断完善的台标 支持IPv4/IPv6双栈访问 🔕
Decorators for maximizing memory utilization with PyTorch & CUDA
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
CInteractE: Complex Convolution-based Knowledge Graph Embedding for Link Prediction
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
🤖 A Python library for learning and evaluating knowledge graph embeddings
MLNLP: Paper Picture Writing Code
Tracking the progress in SLU (resources, code, and new frontiers etc.)
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Python packaging and dependency management made easy
This repository contains the annotated collection of 507 papers included in the study: "A Decade of Knowledge Graphs in Natural Language Processing: A Survey", published in AACL-IJCNLP 2022.