ToddThomson/Mila
Achilles Mila Deep Neural Network library provides a comprehensive API to model, train and evaluate Deep Neural Networks for both research and production environments. The library implements state-of-the-art architectures including transformers, convolutional networks, and recurrent models. The NVIDIA CUDA runtime is used for GPU acceleration.
This library helps machine learning engineers and researchers build, train, and evaluate deep neural networks for both experimental and production uses. It takes raw data and model architectures as input, then outputs trained models capable of tasks like image classification. Users looking to implement state-of-the-art architectures such as transformers or recurrent networks will find this project valuable.
Use this if you are a machine learning engineer or researcher needing to develop and deploy high-performance deep neural networks with GPU acceleration.
Not ideal if you are looking for a high-level, off-the-shelf solution that doesn't require direct engagement with neural network architecture and training details.
Stars
7
Forks
—
Language
C++
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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