DLFlow is a deep learning framework.
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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.
从零开始写一个简单的深度学习框架
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
This repo is about federated learning implementation using FLOWER framework for beginners.
caffe源码阅读笔记
Custom deep learning framework with CuDNN
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