MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatica...

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

MMAction is an open source toolbox for action understanding based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK.

This repository contains a PyTorch*-based framework and samples for neural networks compression.

PySpark中的分布式scikit-learn元估计器 sk-dist是一个用于机器学习的Python模块，构建于scikit-learn之上

a PyTorch*-based framework and samples for neural networks compression.

TensorLayer是一个基于TensorFlow的新型深度学习和强化学习库，专为研究人员和工程师而设计

TabML 旨在创建一个通用的机器学习框架来处理表格数据

Lingvo 是一个用于在 Tensorflow 中构建神经网络的框架，特别是序列模型

BMTrain 是一个高效的大模型训练工具包，可以用于训练数百亿参数的大模型。BMTrain 可以在分布式训练模型的同时，能够保持代码的简洁性。

Deep Learning for beginner

SDK for the development of custom actions for Rasa

from https://github.com/tensorflow/models

The code of the paper Superposition-enhanced quantum neural network for multi-class image classification, which has been accepted by Chinese Journal of Physics.

OpenDILab高性能强化学习算子库