Lihui-Gu/VeOmni
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
agent-methodology for coding
https://lihui-gu.github.io
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
云边协同,模型推理通信框架
ScalingCache: Extreme Acceleration of DiT through Difference Scaling and Dynamic Interval Caching
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
REST: Retrieval-Based Speculative Decoding, NAACL 2024
SGLang is a fast serving framework for large language models and vision language models.
爬取东方财富股吧沪深股票文章、评论及发言用户信息
一个股票数据(沪深)爬虫和选股策略测试框架
计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试:rocket:;可用于模拟面试、面试前复习、短期内快速备战面试...
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
emotion detection ascend device & aliyun esc
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
Fish shell like syntax highlighting for Zsh.
Caffe: a fast open framework for deep learning.
基于scrapy的层次优先队列方法爬取中文维基百科,并自动抽取结构和半结构数据
A Simple and Elegant Resume Template