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Geoff's Projects

mnn icon mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

model-compression icon model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for quantization)

murauer icon murauer

Implementation of the semi-supervised method for hand pose estimation introduced in our WACV 2019 paper "MURAUER: Mapping Unlabeled Real Data for Label AUstERity"

nanodet icon nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

nccl icon nccl

Optimized primitives for collective multi-GPU communication

ncnn icon ncnn

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

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

opencv icon opencv

Open Source Computer Vision Library

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddleocr icon paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pcl icon pcl

Point Cloud Library (PCL)

pelee icon pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pointcnn icon pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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