Pinned Repositories
.NET-DevOps-for-Azure
Public repository for .NET DevOps for Azure book manuscript
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S096SciML
18.S096 - Applications of Scientific Machine Learning
dlsi
Deep Learning for Seismic Interpretation
ENM360
onesaitplatform-cloud
Onesait Platform Community edition is a free, open-source Digital Platform that anyone can download and use to build a complete solution over it. This repo contains the Cloud Side of the Platform.
pdenetgen
Python package for NN generation from physics
sb-aws
AWS based implementation of the sandbox app based on serverless app development patterns
SingleNodeCDPCluster
torsk
An echo state network (ESN) for video prediction
keshava's Repositories
keshava/AI-Law-Minicourse
Mini-course for SCU Law
keshava/atmospheric_tomography_laser
keshava/bidding-machine
An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
keshava/Capstone_Proposal
Galvanize Data Science Capstone: A.I. Legal Research Assistant
keshava/CausalGAN
keshava/continuous_analysis
Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.
keshava/customs
Program for the stochastic optimization of server scheduling of a USCBP customs station as a multi-server simulation (Python)
keshava/deepfusion
Deep learning framework for multimodal sensor fusion.
keshava/elk-kubernetes
This repo shows how to configure complete EFK stack on top of Kubernetes
keshava/Expert-Gate
We introduce a model of lifelong learning, based on a Network of Experts. New tasks / experts are learned and added to the model sequentially, building on what was learned before. To ensure scalability of this process, data from previous tasks cannot be stored and hence is not available when learning a new task. A critical issue in such context, not addressed in the literature so far, relates to the decision of which expert to deploy at test time. We introduce a set of gating autoencoders that learn a representation for the task at hand, and, at test time, automatically forward the test sample to the relevant expert. This also brings memory efficiency as only one expert network has to be loaded into memory at any given time. Further, the autoencoders inherently capture the relatedness of one task to another, based on which the most relevant prior model to be used for training a new expert, with finetuning or learning without-forgetting, can be selected. We evaluate our method on image classification and video prediction problems.
keshava/generative-design-library.js
p5.js library for the book Generative Design
keshava/goslings
Goslings - Git Repository Visualizer
keshava/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
keshava/Intellichain
Intellichain - a blockchain enabled complex social systems decision support framework
keshava/iot-assettracking-demo
IoT Asset Tracking Demo
keshava/iot-edge-proficy-historian
C# Proficy Historian Module for Azure IoT Edge
keshava/lambda-terraform-analytics
A simple serverless analytics service deployed with Terraform
keshava/Machine_learning_for_reliability_analysis
keshava/MilkPOWDER
The Milk Production Optimizer incorporating Weather Dynamics and Economic Risk
keshava/mwo-data
Data sets and solutions for maintenance window optimization problem
keshava/nifi-witsml-bundle
A WITSML client for Apache NiFi. This version will support 1.3.1.1 and 1.4.1.1 inintally.
keshava/patient2vec
Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)
keshava/pyflex
Python port of FLEXWIN
keshava/QCADesigner-FS
QCADesigner 2.0.3 with integrated Fault-Simulator
keshava/reactive-payment-routing
keshava/SemCPS
Integrating Industry 4.0 related standards, AutomationML by means of Probabilistic Soft Logic (PSL) and Ontologies
keshava/slp2-pdf
Speech and Language Processing, 2nd Edition in PDF format
keshava/spatiotemporal-visualizer
An online spatiotemporal data visualizer using D3.js, Leaflet.js and Crossfilter
keshava/VMWorkloadPredictor
VM Workload Predictor
keshava/Wordembedding-and-semantics
Evaluation and improvement of wordembeding and semantics