Name: Jiarui Yu
Type: User
Company: University of Science and Technology of China
Bio: I am an undergraduate student in USTC, China. My major is computer science.
Location: Hefei, AnHui province, China
Blog: home.ustc.edu.cn/~yjr
Jiarui Yu's Projects
AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language
Codes for ALG(Prof. Yun Xu) Exercise and Other Practices
An experimental open-source attempt to make GPT-4 fully autonomous.
Official implementation of the ECCV2022 paper: Audio-Visual Segmentation
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
Simple image captioning model
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
这是USTC17级计算机组成原理实验,主要是多周期和流水线CPU
《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。
这是17级朱明老师数据结构平时练习和实验的代码
深度有趣
This is a GUI based on python tkinter whose function is to help me learning English words especially dictation.
一个关于地理位置的问答和匹配模型
Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
\LaTeX 中文模版收集。
This is a repository that stores the codes I submitted in leetcode and my thoughts of them.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
这是机器学习入门的学习代码
My blogs and code for machine learning. http://cnblogs.com/pinard
Codes for mcps(微机原理) course lab
Adapting Segment Anything Model for Medical Image Segmentation
组成原理课程实验:MIPS 流水线CPU,实现36条指令,转发,冒险检测
《机器学习实践》源码和《机器学习-算法原理与编程实践》源码以及学习心得
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018