zzmmzzm
I am Mo Zhu, a student studying CS & AI at Zhejiang University.
Zhejiang UniversityZhejiang University
Pinned Repositories
Accelerating-CNN-with-FPGA
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
iOSCourse
iOS开发初学者入门
LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
llama2-zjulearning
Inference code for LLaMA models
llm_distillation
i don't know why it doesn't do well
massive-activations-deep
Code accompanying the paper "Massive Activations in Large Language Models"
MTBook
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
NEUSpider
python+selenium+mongodb 东北大学教务处个人信息爬虫
open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
paperdiction
This project is modified from ECDICT. I use this when I read paper. It can help me collect the new word in paper and remind me what word I search.
zzmmzzm's Repositories
zzmmzzm/Accelerating-CNN-with-FPGA
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
zzmmzzm/iOSCourse
iOS开发初学者入门
zzmmzzm/LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
zzmmzzm/llama2-zjulearning
Inference code for LLaMA models
zzmmzzm/llm_distillation
i don't know why it doesn't do well
zzmmzzm/massive-activations-deep
Code accompanying the paper "Massive Activations in Large Language Models"
zzmmzzm/MTBook
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
zzmmzzm/NEUSpider
python+selenium+mongodb 东北大学教务处个人信息爬虫
zzmmzzm/open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
zzmmzzm/paperdiction
This project is modified from ECDICT. I use this when I read paper. It can help me collect the new word in paper and remind me what word I search.
zzmmzzm/GLaDOS-autoCheckin
Automatic check-in to GLaDOS via timed tasks based on Github Actions
zzmmzzm/pix2seq
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)