Abrren Chen's Projects
:green_book:我的个人书籍学习和收藏
AI and ML Projects and Notes!
Working with Youtube's API to collect video statistics from a channel
The official implementation of our paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".
:memo: An awesome Data Science repository to learn and apply for real world problems.
The most cited deep learning papers
Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets
COMP7860 Project
Brain tumor segmentation for MICCAI 2017 BraTS challenge
This repo is used to save all my working and results for the COMP7860 unit project.
吴恩达老师的机器学习课程个人笔记
Rolling updates on coronavirus disease (COVID-19) in Australia
Jupyter Notebook with examples of useful CryptoCompare API calls
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
An orchestration platform for the development, production, and observation of data assets.
Source Code for my blog post: Data mining Meebits NFTs using Python and OpenSea API
love coding and Enjoy challenges
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Welcome to the official repository for the Deviance-based Logistic Tree (DbLT) Model, an innovative approach to classification that synergises the interpretability of decision trees with the predictive power of logistic regression.
This web app is used to detect Emergency Vehicles. (For the practice purpose)
After class Exercise for Netural Network
:exclamation: This is a read-only mirror of the CRAN R package repository. glmertree — Generalized Linear Mixed Model Trees
The command line interface for Gradient - https://gradient.paperspace.com
Web seminar material to teach students how to learn Python
Reimplementation of the authorship attribution approach described in "Moshe Koppel, Jonathan Schler, and Shlomo Argamon. Authorship attribution in the wild. Language Resources and Evaluation, 45:8394, 2011" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"
Python & JAVA Solutions for Leetcode