sasagawa888/deeppipe2
Deep Learning library using GPU(CUDA/cuBLAS)
DeepPipe2 helps developers rapidly prototype and train deep learning models using the Elixir programming language and NVIDIA GPUs. It takes raw image datasets (like MNIST, Fashion-MNIST, CIFAR10, or IRIS) and outputs trained neural networks with their accuracy and loss metrics. This tool is designed for Elixir developers who want to leverage GPU acceleration for deep learning experiments.
No commits in the last 6 months.
Use this if you are an Elixir developer wanting to build and experiment with deep learning models, especially if you need to utilize NVIDIA GPUs for faster computation.
Not ideal if you are not an Elixir developer or do not have access to an NVIDIA GPU, as the project development has concluded and official support is now found in Elixir's Nx project.
Stars
94
Forks
6
Language
Elixir
License
—
Category
Last pushed
Sep 18, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sasagawa888/deeppipe2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
elixir-nx/bumblebee
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
CrayLabs/SmartRedis
SmartSim Infrastructure Library Clients.
xlang-foundation/xlang
A next-generation dynamic and high-performance language for AI and IOT with natural born...
elixir-nx/axon
Nx-powered Neural Networks
elixir-nx/scholar
Traditional machine learning on top of Nx