#自然语言处理#Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
#人脸识别#2D & 3D 人脸分析项目
#计算机科学#深度学习入门教程, 优秀文章, Deep Learning Tutorial
#计算机科学#Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
#计算机科学#Setup and customize deep learning environment in seconds.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyT...
#计算机科学#A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
#计算机科学#Probabilistic time series modeling in Python
#计算机科学#Java 深度学习框架
#计算机科学#In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
#自然语言处理#This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
#计算机科学#A high performance and generic framework for distributed DNN training
#计算机科学#MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
#Awesome#The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
A Simple and Versatile Framework for Object Detection and Instance Recognition