Claudia-Hello
A MSc student at Imperial College London. Eager to contribute to society through computer technology.
London
Claudia-Hello's Stars
ytzfhqs/AAAMLP-CN
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
karpathy/LLM101n
LLM101n: Let's build a Storyteller
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
XuhuiM/SciML-Course
PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.【安全加固,暂停交互,请耐心等待】
skywateryang/timeseries101
本教程独立网站已上线
SY575/DF-Early-warning-of-the-wind-power-system
0voice/algorithm-structure
2021年最新总结 500个常用数据结构,算法,算法导论,面试常用,大厂高级工程师整理总结
PPshrimpGo/AIinterview
算法工程师面试题整理
km1994/NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题
pod2c/Machine_Learning
cog-imperial/OMLT
Represent trained machine learning models as Pyomo optimization formulations
quocduyenanhnguyen/Optimization-Project
In this project, I built several optimization models to determine production level, manage shipment, and maximize thesis points. I also built queueing models to analyze queueing systems in a hospital and made recommendations to meet the criteria, and simulation models to analyze system performance under uncertainty.
ImperialNLP/attention-lecture
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
jianghui-galaxy/Interview-Notebook
https://github.com/CyC2018/Interview-Notebook
jiangjiawei520/CyC2018
【转】技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计
ThinamXx/CaliforniaHousing__Prices
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
linriguang/An-image-encryption-scheme-based-on-Lorenz-Hyperchaotic-System-and-RSA-algorithm
This research proposes a new image encryption scheme based on Lorenz hyperchaotic system and Rivest-Shamir-Adleman (RSA) algorithm. Firstly, the initial values of the Lorenz hyperchaotic system are generated by RSA algorithm, and the keystream is produced iteratively. In order to change the position and gray value of the pixel, the image data are hidden by additive mode diffusion. Secondly, the diffusion image matrix is reshaped into a one-dimensional image matrix, which is confused without repetition to hide the image data again. Then, the finite field diffusion algorithm is executed to realize the third hiding of the image information. In order to diffuse the pixel information into the entire cipher image, the additive mode diffusion algorithm needs to be looped twice. Finally, the cipher image can be obtained. The experimental results prove that the image encryption scheme proposed in this research is effective, and has strong anti-attack and key sensitivity. Moreover, the security of this encryption scheme relies on the RSA algorithm, which has high security.
manishjathan/Image-Encryption-Using-Chaotic-Map
Image Encryption using arnold cat map for pixel shuffling and Henon Map for pixel value transformation.