BrackNeuer's repositories
deep_reinforcement_learning_notes
This repository contains my notes about deep reinforcement learning course in NJU.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
CausalInferenceIntro_Python
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
CV_Interview
百面机器学习
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
github-slideshow
A robot powered training repository :robot:
Hands-on-RL
动手学强化学习 https://hrl.boyuai.com/
hands_on_ml-notes
基于《Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition》本书，我在jupyter notebook中的笔记。
learn_github
This is my test for github
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
missing-semester-2020
MIT: missing semester 2020. Solutions and notes. 学习笔记和部分习题答案
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
my_arxiv_paper
collect the latest arxiv paper in anomaly detection and bus route optimization
NAB
The Numenta Anomaly Benchmark
numpy-ml
Machine learning in numpy
PhaseOfMatter
Machine Learning Phase of matter
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
PyTorchStepByStep
repository of the book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
tods
TODS: An Automated Time-series Outlier Detection System
VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
VSCode_Template
Portfolio Website Template Based On VSCode Theme
Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
Web_guide
千古前端图文教程，超详细的前端入门到进阶学习笔记。从零开始学前端，做一名精致优雅的前端工程师。