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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anomalydetectionwithiforesttutorial

Detect credit card fraud using Isolation Forest and Local Outlier Factor

deep-iforest

implementation of deep isolation forest for anomaly detection

deep-svdd

Repository for the Deep One-Class Classification ICML 2018 paper

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

iforest

Isolation Forest

iforest-1

Implementation of IsolationForest anomaly detection algorithm in Python

iforest-2

iforest-3

The goal of this project is to implement the original Isolation Forest algorithm for anomaly detection

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

isolation_forest

Implementation of iForest Algorithm for Anomaly Detection from scratch

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

mrmr_feature-selection

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法