The Unified AI Framework
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Updated
May 24, 2024 - Python
The Unified AI Framework
State-of-the-art 2D and 3D Face Analysis Project
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Open standard for machine learning interoperability
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Gluon CV Toolkit
A library for training and deploying machine learning models on Amazon SageMaker
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, PyTorch Onnx and CoreML.
Setup and customize deep learning environment in seconds.
Probabilistic time series modeling in Python
《深度学习与计算机视觉》配套代码
Sandbox for training deep learning networks
NLP made easy
An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition
A Simple and Versatile Framework for Object Detection and Instance Recognition
A high performance and generic framework for distributed DNN training
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
TensorLy: Tensor Learning in Python.
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
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