All Projects → vmelan → Cvnd Udacity

vmelan / Cvnd Udacity

Computer Vision Nanodegree program from Udacity

Projects that are alternatives of or similar to Cvnd Udacity

Advanced Lane Detection
An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Stars: ✭ 71 (+36.54%)
Mutual labels:  jupyter-notebook, udacity
Yolo resnet
Implementing YOLO using ResNet as the feature extraction network
Stars: ✭ 82 (+57.69%)
Mutual labels:  jupyter-notebook, udacity
Vehicle Detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Stars: ✭ 1,093 (+2001.92%)
Mutual labels:  jupyter-notebook, udacity
Lung Diseases Classifier
Diseases Detection from NIH Chest X-ray data
Stars: ✭ 52 (+0%)
Mutual labels:  jupyter-notebook, udacity
Stanford Cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Stars: ✭ 249 (+378.85%)
Mutual labels:  jupyter-notebook, udacity
Udacity Machine Learning Nanodegree
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
Stars: ✭ 171 (+228.85%)
Mutual labels:  jupyter-notebook, udacity
Allstate capstone
Allstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (+38.46%)
Mutual labels:  jupyter-notebook, udacity
Machine Learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (+1255.77%)
Mutual labels:  jupyter-notebook, udacity
Aind Nlp
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Stars: ✭ 202 (+288.46%)
Mutual labels:  jupyter-notebook, udacity
Deep Learning Notes
My personal notes, presentations, and notebooks on everything Deep Learning.
Stars: ✭ 191 (+267.31%)
Mutual labels:  jupyter-notebook, udacity
Udacity Deep Learning
Udacity Deep Learning MOOC assignments
Stars: ✭ 463 (+790.38%)
Mutual labels:  jupyter-notebook, udacity
Particle Filter Prototype
Particle Filter Implementations in Python and C++, with lecture notes and visualizations
Stars: ✭ 29 (-44.23%)
Mutual labels:  jupyter-notebook, udacity
Reinforcement Learning Introduction
Code from my blog post & online course
Stars: ✭ 51 (-1.92%)
Mutual labels:  jupyter-notebook
Continuousparetomtl
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
Stars: ✭ 52 (+0%)
Mutual labels:  jupyter-notebook
Ner blstm Crf
LSTM-CRF for NER with ConLL-2002 dataset
Stars: ✭ 51 (-1.92%)
Mutual labels:  jupyter-notebook
Mask Faster Rcnn
Mask R-CNN
Stars: ✭ 51 (-1.92%)
Mutual labels:  jupyter-notebook
Kaggle Kannada Mnist 3rd Solution
Stars: ✭ 52 (+0%)
Mutual labels:  jupyter-notebook
Sirmodel covid 19
Stars: ✭ 52 (+0%)
Mutual labels:  jupyter-notebook
Alpha pooling
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (-1.92%)
Mutual labels:  jupyter-notebook
Pytorch musicnet
PyTorch DataSet and Jupyter demos for MusicNet
Stars: ✭ 51 (-1.92%)
Mutual labels:  jupyter-notebook

Computer Vision Nanodegree

This repository contains project files for Udacity's Computer Vision Nanodegree program which I enrolled on 24 April, 2018.

Projects

Facial Keypoint Detection

P1_Facial_Keypoints

Use image processing techniques and deep learning techniques to detect faces in an image and find facial keypoints, such as the position of the eyes, nose, and mouth on a face.

Automatic Image Captioning

P2_Image_captioning

Combine CNN and RNN knowledge to build a deep learning model that produces captions given an imput image.

Landmark Detection & Tracking (SLAM)

P3_SLAM

Implement Graph SLAM (Simultaneous Localization and Mapping) for a 2 dimensional world

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].