DLFlow is a deep learning framework.
-
Updated
Aug 17, 2020 - Python
DLFlow is a deep learning framework.
A simple deep learning framework that supports automatic differentiation and GPU acceleration.
Keras-like APIs for JAX framework
DeepJava (DJ) is a DeepLearning framework for Java 10
This is a cross-chip platform collection of operators and a unified neural network library.
Make a distributed deep learning framework from scratch
Dorapy is a deep learning framework that focuses on data pre-processing.🛸
A Toy Nerual Network Framework 自制神经网络框架
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
Automatic Data Augmentation for Deep Learning techniques
This is a toy deep-learning computing framework( such as Pytorch,Caffe etc.).
Implementations of AdaBoost and Bagging algorithms applied to multiple datasets, comparing performance across various scenarios with different tree depths.
🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains
Deep learning framework with simple operations
Image Classifier Command Line App using PyTorch - Udacity Nanodegree Project
Add a description, image, and links to the deeplearning-framework topic page so that developers can more easily learn about it.
To associate your repository with the deeplearning-framework topic, visit your repo's landing page and select "manage topics."