DL NotesDL & CV & Neural Network
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Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
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Advanced Lane DetectionAn advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
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Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
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FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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Pytorch FcnPyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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Lyft-Perception-ChallengeThe 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
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Pytorch Fcn Easiest DemoPyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
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Fashion-Clothing-ParsingFCN, U-Net models implementation in TensorFlow for fashion clothing parsing
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Vehicle DetectionVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
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Deep Residual UnetResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
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Fusion UkfAn unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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mpcA software pipeline using the Model Predictive Control method to drive a car around a virtual track.
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highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
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fusion-ekfAn extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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Semseg常用的语义分割架构结构综述以及代码复现
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Fcn GooglenetGoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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PiwisePixel-wise segmentation on VOC2012 dataset using pytorch.
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self-driving-car-ndUdacity's Self-Driving Car Nanodegree project files and notes.
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Yolo resnetImplementing YOLO using ResNet as the feature extraction network
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socialwaysSocial Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
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Stanford Cs231Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
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UdacimakUdacity Nanodegree and Course Downloader
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K-Net[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
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nobrainerA framework for developing neural network models for 3D image processing.
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Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
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PixelPick[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick
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Cvnd UdacityComputer Vision Nanodegree program from Udacity
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Point Cloud FilterScripts showcasing filtering techniques applied to point cloud data.
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Constant VigilanceLearn this if you want to be a software engineer. Constant vigilance means being continually aware of areas that need improvement. For me, I am constantly searching for valuable resources to ensure I am able to solve any problem that comes my way.
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Particle Filter PrototypeParticle Filter Implementations in Python and C++, with lecture notes and visualizations
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