Paddle.jl

Julia interface for an easy to Learn and Use Distributed Deep Learning Platform

GET STARTED

Paddle.jl is a Julia interface for PaddlePaddle deep learning framework, Paddle.jl is designed for better performance and better flexibility to bring simplicity to deep learning developers who are using PaddlePaddle.

Installation

  1. Install PaddlePaddle

  2. Install Julia, PyCall

  3. Clone Paddle.jl repository

Why Choose Us?

Technology and Service Advantages

Ease of use

Provids an intuitive and flexible interface for loading data and specifying model structure.

Flexibility

Supports CNN, RNN and other neural network. Easy to configure complex models.

Efficiency

Efficient optimization of computing, memory, communications and architecture.

Scalability

Easy to use many CPUs/GPUs and machines to speed up your training and handle large-scale data easily.

Our Team

We are a group of students from Faculty of Computers and Information - Cairo University, and Paddle.jl is our graduation project

Kareem Salah

Mohamed Ibrahim

Mohamed Taher

Osama Fathy

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