RainBowLuoCS
The first year Master student @SIAT-NLP advised by Prof. Min Yang. @alibaba DAMO Academy. CVer/NLPer
UCAS | TongYi LaboratoryBeijing,China
Pinned Repositories
CTTrack
Cartoonizer-Pytorch
rewrite the cartoon transfer model with pytorch
ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
DEEM
DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.
DiffusionTrack
[AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
NLP_beginner
My NLP
RainBowLuoCS
Simple-Pedestrian-Attribute-Recognition-With-Deep-Learning
Simple-Pedestrian-Attribute-Recognition-With-Machine-Learning
RainBowLuoCS's Repositories
RainBowLuoCS/DiffusionTrack
[AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.
RainBowLuoCS/DEEM
DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.
RainBowLuoCS/Cartoonizer-Pytorch
rewrite the cartoon transfer model with pytorch
RainBowLuoCS/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
RainBowLuoCS/NLP_beginner
My NLP
RainBowLuoCS/RainBowLuoCS
RainBowLuoCS/Simple-Pedestrian-Attribute-Recognition-With-Deep-Learning
RainBowLuoCS/Simple-Pedestrian-Attribute-Recognition-With-Machine-Learning
RainBowLuoCS/uniquecv
A simple resume template written in LaTeX
RainBowLuoCS/Yuan-ASC2022-
RainBowLuoCS/ZiChengRemoteSensingSystem
the official implementation of ZiChen System
RainBowLuoCS/ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
RainBowLuoCS/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
RainBowLuoCS/awesome-hust
HUST experiments, reports, and useful tools.
RainBowLuoCS/gocapture
网络流量可视化、抓包以及流量统计
RainBowLuoCS/gpt_academic
为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。
RainBowLuoCS/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
RainBowLuoCS/Large-Multimodal-Language-Models
Papers about large (multimodal) language models
RainBowLuoCS/MMEvolWeb
RainBowLuoCS/nerf
Code release for NeRF (Neural Radiance Fields)
RainBowLuoCS/network