deeplearning-framework

DLFlow is a deep learning framework.

A simple deep learning framework that supports automatic differentiation and GPU acceleration.

Keras-like APIs for JAX framework

基于提前退出部分样本原理而实现的带分支网络（supported by chainer）

DeepJava (DJ) is a DeepLearning framework for Java 10

This is a cross-chip platform collection of operators and a unified neural network library.

A neural network framework from scratch using NumPy. Offers almost all basic functionalities . Suitable for classification and regression tasks. 一个用NumPy从零实现的神经网络框架。提供几乎所有基本功能。适用于分类和回归任务。

A C++20 deep-learning framework with a training–inference-unified IR from day one and beyond.

Dorapy is a deep learning framework that focuses on data pre-processing.🛸

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

A Toy Nerual Network Framework 自制神经网络框架

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.

Research-oriented implementation of neural networks from first principles, demonstrating mathematical foundations and medical image classification.

This is a toy deep-learning computing framework( such as Pytorch,Caffe etc.).

Binary classification of breast cancer histopathology images (Benign vs Malignant) using an improved CNN on the BreakHis dataset - 88.24% test accuracy.

Implementations of AdaBoost and Bagging algorithms applied to multiple datasets, comparing performance across various scenarios with different tree depths.

Pytorch inspired deep learning library built from first principles