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.

OriginDL: A distributed deep learning framework Built from scratch

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.

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

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.

Deep learning framework with simple operations

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.

🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains

Custom deep learning framework with CuDNN