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3d-machine-learning

A resource repository for 3D machine learning

adas-scenarios

3 ADAS scenarios created using the 'Automated Driving Toolbox' of MATLAB

adas_functions_matlab

adas_project-auto-steering-acc

This is the final project of EECS 461 in University of Michigan. The goal of the project is to simulate Auto steering and Adaptive Cruise Control.

advanced-lane-lines

A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.

alexnet

ImageNet Classification with Deep Convolutional Neural Networks

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

atreya

hi

autonomous-drive

Autonomous Vehicle modelling using MATLAB and Simulink

awesome-matlab-hackathons

This repository is a resource center for hackathon participants! Check out the readme file to find getting started resources and inspiration for your next hack!

canada

Controller Area Network Automatic Defense Architecture (CANada) is a prototype architecture for improving the security of a Connected Vehicle (CV) using Hardware Security Modules (HSM) to monitor the traffic on a CAN bus

cantools

CAN bus tools.

cheat-sheets

Developer Cheatsheets

cnn-lstm

Sentiment Analysis using CNN and LSTM

collaborative-learning

Tensorflow implementation of "Collaborative Learning for Deep Neural Networks"

computer-vision-relative-attributes

Project on Learning Relative Attributes for recognition - Winter 2016

conceptor

Audio Analysis by Conceptor

data-science-by-siraj-raval

Learn Python for Data Science by Siraj Raval on Youtube

datasciencecheatsheet

datasciencecourser

datasciencecoursera

hello

datasharing

The Leek group guide to data sharing

deep-learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-residual-learning-for-image-recognition

Implementation of https://arxiv.org/pdf/1512.03385.pdf

deep-residual-learning-for-image-recognition-implementation

Based on paper by Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun - https://arxiv.org/pdf/1512.03385.pdf

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

deepseqslam

Official PyTorch implementation for the paper "DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition" by M. Chancán (NeurIPS 2020, ML4AD Workshop) https://arxiv.org/abs/2011.08518

deforestation-monitoring-using-satellite-image-processing

Implemented PCA and K-means Algorithm for the dimensionality reduction, Segregation of Contrast image and finally generation of Change Map for the computation of loss in green cover.