Coobiw's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
计算机保研交流群(QQ群号:605176069)
It is a system used to detect the fire object based on cascade-classifier,Yolov1 Network Architecture and their combination.By the way,In order to improve the accuracy,we also use FCN Network.Actually,it is better for you to use Yolov3,v4,v5 to solve this problem.We just want to introduce an idea to enhance the accurary on small object,such as detecting on the segmentation results.
just numpy to accomplish MLP/BP/SGD-Momentum/Adam/any thing!!!
[ICME2024, Official Code] for paper "Bringing Textual Prompt to AI-Generated Image Quality Assessment"
I use MaxHeap to optimize the KNN algorithm.The detail and the code are shown in this repository.
教程→ https://www.liaoxuefeng.com/wiki/896043488029600 推送请使用UTF-8编码
The repository is about some of my codes which I do in 2021 MCM Question A.
The Mini Sora project aims to explore the implementation path and future development direction of Sora.
OpenMMLab Pre-training Toolbox and Benchmark
Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.
This repository implements the Word2Vec and GloVe by pytorch deep learning framework. Refer to the d2l(https://zh-v2.d2l.ai/) and self-implement the GloVe. So maybe this is a record of my learning start for NLP.:)
本仓库参考bilibili码农高天的讲解,实现了电视剧《点燃我,温暖你》中李峋的爱心。代码和实现结果见仓库
A repo which is served as a record of my learning in DL,CV,NLP, including various codes and notes. Please keep fighting!
Imitate SSD(I only use single-scale feature map) to realize a network for Single Object Localization.
TAM: Temporal Adaptive Module for Video Recognition
A torch-like only-numpy-implement of MLP without any deep learning framework. A simple computation graph is also realized.
[CVPRW2024, Official Code] for paper "Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap".
Zero-Shot Semantic Segmentation