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100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

alibi

Algorithms for monitoring and explaining machine learning models

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

cau_2021

중앙대학교 딥러닝 교육

cctv_anomaly_detection

AI_School / CCTV 이상행동 감지 서비스 만들기 / (200910 ~ 200923)

clustering

SVM, Logistic Regression, Hard Margin SVM, Soft Margin SVM

covid-19-eda-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

eda-python-examples

Consists all the try outs and assignments in AIML program of great lakes

eda_titanic

Exploratory Data Analysis - Kaggle Titanic dataset

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

fix-match

Semi-supervised FixMatch algorithm Python implementation

fix_mix_match-project

Reimplementation of FixMatch & MixMatch Semi Supervised Learning Algorithm

imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

keras-image-classification

Using Kaggle cats vs dogs dataset

keras-vgg-transfer-learning

Keras-VGG-Transfer-Learning

kyungsoo

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

pytorch-cifar10

practice on CIFAR10 with PyTorch

seaborn-tutorial-master

semi-supervised-learning

Semi-supervised learning tutorial in pytorch (pseudio label, Pi model, mean teacher, FixMatch, UDA)

shap

A game theoretic approach to explain the output of any machine learning model.

svm

Tutorial: Support Vector Machine from scratch using Python3

svm-kernel-trick

To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!

the-python-graph-gallery

A website displaying hundreds of charts made with Python

titanic-dataset-analysis

EDA,Feature Engineering and Modelling for classical Titanic Problem

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)