Compiler Infrastructure for Neural Networks

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Productive, portable, and performant GPU programming in Python.

SOTA benchmark

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

A treasure chest for visual classification and recognition powered by PaddlePaddle

PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Parallel WaveGAN)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

ONNX Model Exporter for PaddlePaddle

Embedded and Mobile Deployment

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

A microbenchmark support library

An open autonomous driving platform

ArrayFire: a general purpose GPU library.

Caffe for Sparse Convolutional Neural Network

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

Caffe: a fast open framework for deep learning.