PPLNN is a Primitive Library for Neural Network is a high-performance deep-learning inference engine for efficient AI inferencing

Last update: Jan 07, 2023

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Overview

PPLNN

Overview

PPLNN, which is short for "PPLNN is a Primitive Library for Neural Network", is a high-performance deep-learning inference engine for efficient AI inferencing. It can run various ONNX models and has better support for OpenMMLab.

Documents

Supported Ops and Platforms
Building from Source
Generating ONNX models from OpenMMLab
Getting Started in C++
C++ API References
Develop Guide
- Add New Engines and Ops
- X86
  - Add Ops（中文版）
  - Benchmark（中文版）
- CUDA
  - Add Ops（中文版）
  - Benchmark（中文版）

Contact Us

Contributions

This project uses Contributor Covenant as code of conduct. Any contributions would be highly appreciated.

Acknowledgements

License

This project is distributed under the Apache License, Version 2.0.

Owner

[email protected]

GitHub Repository

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PPLNN is a Primitive Library for Neural Network is a high-performance deep-learning inference engine for efficient AI inferencing

Related tags

Overview

PPLNN

Overview

Documents

Contact Us

Contributions

Acknowledgements

License

Owner

TensorFlow CNN for fast style transfer

Official Pytorch implementation of C3-GAN

Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

PyTorch implementation of CloudWalk's recent work DenseBody

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

Implementation of Nyström Self-attention, from the paper Nyströmformer

NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.

Do Neural Networks for Segmentation Understand Insideness?

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks

Open-sourcing the Slates Dataset for recommender systems research

ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.

MLP-Like Vision Permutator for Visual Recognition (PyTorch)

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Code to reproduce the results for Compositional Attention

AlgoVision - A Framework for Differentiable Algorithms and Algorithmic Supervision

Contrastive Learning of Structured World Models

Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)

Efficient Deep Learning Systems course

Rational Activation Functions - Replacing Padé Activation Units