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๐Ÿ‘‹ Hello! I'm Perry Zou.

  • I am currently a masterโ€™s student at University of Science and Technology of China

I'm an Early ๐Ÿค

๐ŸŒž Morning                404 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   23.46 % 
๐ŸŒ† Daytime                567 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   32.93 % 
๐ŸŒƒ Evening                357 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   20.73 % 
๐ŸŒ™ Night                  394 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   22.88 %

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ•‘๏ธŽ Time Zone: Asia/Shanghai

๐Ÿ’ฌ Programming Languages: 
Python                   3 hrs 22 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   51.33 % 
C#                       2 hrs 33 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   38.97 % 
JSON                     26 mins             โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   06.60 % 
SSH Config               10 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.67 % 
CSHTML                   1 min               โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.36 % 

๐Ÿ”ฅ Editors: 
VS Code                  6 hrs 34 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 % 

๐Ÿฑโ€๐Ÿ’ป Projects: 
chatbot                  3 hrs 22 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   51.34 % 
ECSBot                   3 hrs               โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   45.89 % 
Unknown Project          10 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.67 % 
csharp                   0 secs              โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.10 % 

๐Ÿ’ป Operating System: 
Windows                  6 hrs 23 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘   97.33 % 
Mac                      10 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.67 %

I Mostly Code in Python

Python                   17 repos            โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   34.69 % 
C++                      11 repos            โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   22.45 % 
JavaScript               4 repos             โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   08.16 % 
TeX                      3 repos             โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   06.12 % 
CSS                      2 repos             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   04.08 %

Perry Zou's Projects

aic22-mcvt icon aic22-mcvt

The 2nd place solution of track1 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2022 Workshop.

baichuan-7b icon baichuan-7b

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

card icon card

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

chatglm-efficient-tuning icon chatglm-efficient-tuning

Fine-tuning ChatGLM-6B with PEFT | ๅŸบไบŽ PEFT ็š„้ซ˜ๆ•ˆ ChatGLM ๅพฎ่ฐƒ

cmu10-714 icon cmu10-714

Learning material for CMU10-714: Deep Learning System

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeplearning-500-questions icon deeplearning-500-questions

ๆทฑๅบฆๅญฆไน 500้—ฎ๏ผŒไปฅ้—ฎ็ญ”ๅฝขๅผๅฏนๅธธ็”จ็š„ๆฆ‚็Ž‡็Ÿฅ่ฏ†ใ€็บฟๆ€งไปฃๆ•ฐใ€ๆœบๅ™จๅญฆไน ใ€ๆทฑๅบฆๅญฆไน ใ€่ฎก็ฎ—ๆœบ่ง†่ง‰็ญ‰็ƒญ็‚น้—ฎ้ข˜่ฟ›่กŒ้˜่ฟฐ๏ผŒไปฅๅธฎๅŠฉ่‡ชๅทฑๅŠๆœ‰้œ€่ฆ็š„่ฏป่€…ใ€‚ ๅ…จไนฆๅˆ†ไธบ18ไธช็ซ ่Š‚๏ผŒ50ไฝ™ไธ‡ๅญ—ใ€‚็”ฑไบŽๆฐดๅนณๆœ‰้™๏ผŒไนฆไธญไธๅฆฅไน‹ๅค„ๆณ่ฏทๅนฟๅคง่ฏป่€…ๆ‰น่ฏ„ๆŒ‡ๆญฃใ€‚ ๆœชๅฎŒๅพ…็ปญ............ ๅฆ‚ๆœ‰ๆ„ๅˆไฝœ๏ผŒ่”็ณป[email protected] ็‰ˆๆƒๆ‰€ๆœ‰๏ผŒ่ฟๆƒๅฟ…็ฉถ Tan 2018.06

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dfer-clip icon dfer-clip

"Prompting Visual-Language Models for Dynamic Facial Expression Recognition", BMVC, 2023

diffmic icon diffmic

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

emonet icon emonet

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021

humansd icon humansd

The official implementation of paper "HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation"

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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