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mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

mouse-detect

Detect mouse

mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

mutualnet

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution (ECCV'20 Oral)

mxnet_mtcnn_face_detection

MTCNN face detection

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

nao

Neural Architecture Optimization

nao_pytorch

Pytorch Implementation of Neural Architecture Optimization

nas

Neural architecture search(NAS)

nas-benchmark

Code for our ICLR2020 paper "NAS evaluation is frustratingly hard"

nas_fpn_tensorflow

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

nasp-codes

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

nlp_tflite

nlp模型转tensorflow lite，并使用c++调用

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

open-reid

Open source person re-identification library in python

orthogonal-convolutional-neural-networks

Code for paper "Orthogonal Convolutional Neural Networks".

orthogonality-in-cnns

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

paddlepi

PaddlePi

paper-computer-vision

Computer vision papers

pathlevel-eas

Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.

peleenet

A tensorflow implement for PeleeNet:A Real-Time Object Detection System on Mobile Devices

peleenet-pytorch-implement

person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pnasnet.pytorch

PyTorch implementation of PNASNet-5 on ImageNet

pointconv

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

prvs-image-inpainting

The code for our paper Progressive Reconstruction of Visual Structure for Image Inpainting will be released soon.