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mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

mobilenet-caffe

Caffe Implementation of Google's MobileNets

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

moderngpu

Patterns and behaviors for GPU computing

nccl

Optimized primitives for collective multi-GPU communication

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

neural_session_relevance_model

Sequence to sequence learning for generative context-aware query suggestion.

neuralnetworks

nnvm

Bring deep learning to bare metal

nnvm-fusion

Kernel Fusion and Runtime Compilation Based on NNVM

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

ompi

Open MPI main development repository

openclcode

opencv

Open Source Computer Vision Library

openvml

Vector Math Library

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddlenlp

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

paddlescience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

passl

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

pword2vec

Parallelizing word2vec in shared and distributed memory

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

rabbitmq-tutorials

Tutorials for using RabbitMQ in various ways

raytracing-render

Developing raytracing render from scratch.

rnn

General Stride K-Nearest Neighbors

scikit-learn

scikit-learn: machine learning in Python

scripts-ubuntu-debian

Scripts for Ubuntu/Debian

simd_sort

sparse_transformer_sc21

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

sse-popcount

SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html