deepaksridhar Goto Github PK

airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

al-folio-web

android-interview-questions

Your Cheat Sheet For Android Interview - Android Interview Questions

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-deep-learning-papers

The most cited deep learning papers

bluetooth_tracker

This app allows you to track bluetooth devices from your smartphone and raises an alarm if it is out of range of the bluetooth

caffe

Caffe: a fast open framework for deep learning.

cameraview

Easily integrate Camera features into your Android app

courses

fast.ai Courses

create-your-own-adventure

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

darknet

Convolutional Neural Networks

deep-learning-coursera

This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

deep-learning-udacity

This repository contains the programming assignments for Deep Learning course by Udacity

deepaksridhar.github.io

deeplearning-finetune

This repository contains code on finetuning existing models (from fast.ai)

digitdetection

This Android App recognizes Digits (0-9) from a picture using my CNN Keras model for MNIST dataset.

ds_ltv_deep_learning

This repository contains the files for training a linear time-varying system to identify the nature of the parameters using Deep Learning concepts.

ds_neuralnetwork_matlab

factorgraphdiffusion.github.io

hello-world

This is an introductory repository

imad-2016-app

latentspacevisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

machine-learning-coursera

This repository contains the programming assignments for the Machine Learning course by Andrew Ng. It deals with the following concepts. Linear Regression, Logistic Regression, Neural Networks, Bias and Variance, SVM, PCA , K-means Clustering, Anomaly Detection and Recommender Systems.

mlcourse_open

OpenDataScience Machine Learning course. Launches on Feb, 5 both in English and Russian

objectdetectionapp

This Android App recognizes Cats/Dogs from a picture using Deep Conv Nets fine-tuned from VGG-16 model and Happy faces using custom deep convolutional neural networks in Keras.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

recipes

reflections

spask

ECE271B project