Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

A PyTorch implementation of EfficientNet

SwinIR: Image Restoration Using Swin Transformer (official repository)

unoffical and work in progress PyTorch implementation of CutPaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"

Anomaly Detection via Reverse Distillation from One-Class Embedding

Latex code for making neural networks diagrams

The python implementation of paper Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences (IJCAI 2023)

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

一本系统地教你将深度学习模型的性能最大化的战术手册。

A playbook for systematically maximizing the performance of deep learning models.

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