ByeongGil-Jung

audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

UniAD

[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

TransferAD

Transfer-based anomaly detection (ICML 2021).

CSI

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Classification-AD

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

flower

Flower: A Friendly Federated Learning Framework

GOAD

Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.

EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

deep_representation_one_class

awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

advertorch

A Toolbox for Adversarial Robustness Research

python-dependency-injector

Dependency injection framework for Python

book

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

pytorch-ssim

pytorch structural similarity (SSIM) loss

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

AnomalyDetectionTransformations

A simple and effective method for single-class classification of images

Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

imgaug

Image augmentation for machine learning experiments.

CTGAN

Conditional GAN for generating synthetic tabular data.

ReinforcementZeroToAll

linux

Linux kernel source tree

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs