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.
OriginDL: A distributed deep learning framework Built from scratch
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
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
Automatic Data Augmentation for Deep Learning techniques
A deep learning model designed for sentiment analysis by leveraging the power of ResNet and GoogleNet-inspired architectures. This hybrid model efficiently extracts high-level semantic features from textual data to classify sentiments into Positive, Negative, or Neutral categories.
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 PyTorch Inspired Experimental Deep Learning Library
Deep learning framework with simple operations
This repo is about federated learning implementation using FLOWER framework for beginners.
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