city292

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

BDL

BIPNet

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

build_assessment

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

keras_frcnn

Keras Implementation of faster-rcnn

city292/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

city292/keras_frcnn

Keras Implementation of faster-rcnn

city292/3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

city292/awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

city292/BuildingChangeDetector

基于U-Net检测卫星图像上的新增建筑

city292/burst-denoising

city292/Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

city292/deep-residual-networks

Deep Residual Learning for Image Recognition

city292/DPED

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

city292/draw_convnet

city292/efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

city292/ENAS-Keras

Keras implementation of Efficient Neural Architecture Search

city292/imgaug

Image augmentation for machine learning experiments.

city292/ITS

experiments about automobile vision, now focusing on lane marking/boundary detection & tracking. see more https://github.com/baidut/OpenVehicleVision

city292/keras

Deep Learning for humans

city292/keras-retinanet

Keras implementation of RetinaNet object detection.

city292/learning_in_summer2017

city292/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

city292/ncnn

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

city292/pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

city292/pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

city292/python-guided-filter

Numpy/Scipy implementation of the (fast) Guided Filter

city292/pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

city292/QRCODE

city292/sig_tuple_seg

Segmentation problem solved using deep learning for sigtuple challenge in hackerearth

city292/state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.