Final project of the Udacity Self-Driving Car Nanodegree
-
Updated
Jan 10, 2018 - Jupyter Notebook
Final project of the Udacity Self-Driving Car Nanodegree
Implementation of DeepLabv3 in TensorFlow
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
DeepLabV2-ResNet101 implementation in TensorFlow and python 3
Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection
Live Image Classification
Contains my experiments for Intel's Scene Classification challenge
An image recognition project to detect all sunset/sunrise images with machine learning and SVM in 5000+ images.
Region Detection in Receipts
developed a model that can detect pneumonia from Chest X-Rays of the patient which has a significant level of accuracy in detecting pneumonia in comparison with practicing radiologists.
classification on diabetic retinopathy images
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Object Detection in Twilight
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Add a description, image, and links to the resnet-101 topic page so that developers can more easily learn about it.
To associate your repository with the resnet-101 topic, visit your repo's landing page and select "manage topics."