Anomaly detection related books, papers, videos, and toolboxes

This is a repo with links to everything you'd ever want to learn about data engineering

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

Simple, unified interface to multiple Generative AI providers

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A simple Langchain RAG application.

Source for book "Feature Engineering A-Z"

LLM101n: Let's build a Storyteller

Machine Learning Journal for Intermediate to Advanced Topics.

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Notebook to walk through Bayesian testing with Kaggle data

Machine Learning and Computer Vision Engineer - Technical Interview Questions

一本系统地教你将深度学习模型的性能最大化的战术手册。

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

顶不住的运筹优化

点餐小程序，点单自动出单，点餐自动打印

🦉 Data Versioning and ML Experiments

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

A Python package for time series augmentation

A step-by-step guide to getting started with Git and GitHub for beginners.

Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

Bayesian time series forecasting and decision analysis

A playbook for systematically maximizing the performance of deep learning models.