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Name: kun
Type: User
Name: kun
Type: User
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk throug
Public Repository for cs109a, 2017 edition
A complete computer science study plan to become a software engineer.
吴恩达老师的机器学习课程个人笔记
Code repository for Deep Learning with Keras published by Packt
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Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
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Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
《Java 程序员眼中的 Linux》
Unofficial Re-implementation of MemSeg for Anomaly Detection
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The "Python Machine Learning (1st edition)" book code repository and info resource
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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scikit-learn: machine learning in Python
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
This repo is for demonstration purposes only.
Statistical Data Analysis in Python
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