digantamisra98/Mish

Health v2 · maintenance only

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Adoption not part of the score

1299 stars · 128 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official repository for the Mish activation function, a self-regularized non-monotonic neural activation function published at BMVC 2020. It provides reference implementations, notebooks, and links to optimized variants for use in deep learning models.

Use cases

• use mish activation function in pytorch
• improve image classification accuracy with activation functions
• find non-monotonic activation function for object detection
• compare activation functions like swish relu and mish
• implement mish in a neural network
• cite the mish paper for research

When to choose

• you want to experiment with the Mish activation function in deep learning models
• you need the official reference implementation and paper citations
• you are doing computer vision research on activation functions

When to avoid

• you need a production-optimized CUDA implementation (use mish-cuda instead)
• you need a maintained general-purpose deep learning framework
• you only need standard activations like ReLU built into your framework

Facets

library · maturity maintenance

deep-learning machine-learning math deep-learning computer-vision machine-learning python activation-function neural-networks bmvc-2020 pytorch research-paper gpu

Member repositories

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markdown · JSON · MCP: product_card(name="digantamisra98/Mish")