This repository contains the official implementation and experiments for the Mish activation function published at BMVC 2020. Mish is a non-monotonic neural activation function designed as a self-regularized alternative to functions like ReLU and Swish. The repository provides Jupyter notebooks demonstrating Mish’s effectiveness in computer vision tasks including image classification on CIFAR and ImageNet, as well as object detection benchmarks.