sdhayalk Goto Github PK
Name: Sahil Rajesh Dhayalkar
Type: User
Bio: Master of Computer Science student at Arizona State University
Location: San Diego, CA, USA
Name: Sahil Rajesh Dhayalkar
Type: User
Bio: Master of Computer Science student at Arizona State University
Location: San Diego, CA, USA
binary weight neural network implementation on tensorflow
GoogLeNet architecture with Inception modules that can detect the driver's activity or distraction which can be used to aid autonomous driving agent about driver's state.
Convolutional neural network model similar to VGG-D that can detect emotions given facial images. Achieved an accuracy of 65% on the FER-2013 dataset. Code in Keras
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Convolutional Neural Network architecture to generate Color images from Grayscale input images. Specifically, it generates color images in the YUV channels space when given input grayscale images in the Y channel.
Implemented convolutional neural network GoogLeNet with Inception modules and Ensemble of Inception V3, Xception, ResNet50 using transfer learning to detect invasive hydrangea in Brazilian national forest images dataset from Kaggle. Programmed in Keras using TensorFlow backend.
Image visual similarity based search in NAIP satellite imagery of some areas of California using Deep Learning. Deep CNN provides output features that are converted into 512-bit binary vector that compactly represents the input image and can be used for similarity based search.
Test Accuracy: 99.4%. Kaggle Rank: Top 13%. Convolutional neural network using TensorFlow to correctly identify digits from handwritten images
Models and examples built with TensorFlow
Fast high-dimensional exact KNN search.
Over 60 recipes to work with topology, overlays and indoor routing
R-CNN: Regions with Convolutional Neural Network Features
train resnet on imagenet from scratch with caffe
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.