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12_python_seaborn_module icon 12_python_seaborn_module

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

a-2017 icon a-2017

Public Repository for cs109a, 2017 edition

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

fod icon fod

Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection

geektime_dl icon geektime_dl

把极客时间装进 Kindle,内含快手内推等福利

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

memseg icon memseg

Unofficial Re-implementation of MemSeg for Anomaly Detection

ml2021-spring icon ml2021-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

ml2022-spring icon ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qtcpsocket icon qtcpsocket

A simple Qt client-server TCP architecture to transfer data between peers

seaborn-tutorial icon seaborn-tutorial

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.

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