Pinned Repositories
alexa-deep-see
See without looking. Visualize by listening.
ask.py
Single file template, examples and utilities for creating Amazon Alexa's skills (ASK) using Python
auto-alt-text-lambda-api
Lambda API to caption images (with im2txt)
azureml-iotfuse2019
Coming soon. This repo contains all the required code for the Azure ML Workshop at IoTFuse 2019.
cog
A Persistent Embedded Graph Database for Python
deepfake-detector
Detect DeepFakes using transfer learning
energyplus-tools
A collection of tools for the EnergyPlus ecosystem.
iotfuse-workshop-2020
This repo contains all the required code for the IoTFuse 2020 Data Workshop.
mkono
madhu-kt's Repositories
madhu-kt/azureml-iotfuse2019
Coming soon. This repo contains all the required code for the Azure ML Workshop at IoTFuse 2019.
madhu-kt/iotfuse-workshop-2020
This repo contains all the required code for the IoTFuse 2020 Data Workshop.
madhu-kt/mkono
madhu-kt/alexa-deep-see
See without looking. Visualize by listening.
madhu-kt/ask.py
Single file template, examples and utilities for creating Amazon Alexa's skills (ASK) using Python
madhu-kt/auto-alt-text-lambda-api
Lambda API to caption images (with im2txt)
madhu-kt/cog
A Persistent Embedded Graph Database for Python
madhu-kt/deepfake-detector
Detect DeepFakes using transfer learning
madhu-kt/energyplus-tools
A collection of tools for the EnergyPlus ecosystem.
madhu-kt/GoogleVisionTutorials
Tutorials on how to use Google Vision with the Raspberry Pi.
madhu-kt/hszinc
Project Haystack Zinc (Zinc is not CSV) parser and dumper for Python 2.7 and 3.x
madhu-kt/kaggle-catdog
madhu-kt/madhu-kt.github.io
madhu-kt/minigraphdb
Implements a minimalist directed graph database in memory via Python3
madhu-kt/mtl
madhu-kt/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
madhu-kt/pyhaystack
Pyhaystack is a module that allow python programs to connect to a haystack server project-haystack.org. Actually, connection can be established with Niagara Platform running the nhaystack module. It's a work in progress and actually, main goal is to connect to server and retrive histories to make numeric analysis. Eventually, other options will be implemented through the REST API. For this to work with Anaconda IPython Notebook in Windows, be sure to use "python setup.py install" using the Anaconda Command Prompt in Windows. If not, module will be installed for System path python but won't work in the environment of Anaconda IPython Notebook.
madhu-kt/pysonDB
A Simple , ☁️ Lightweight , 💪 Efficent JSON based database for 🐍 Python.
madhu-kt/raspberry-pi-ozobot-evo
Control your Ozobot Evo with your Raspberry Pi via Bluetooth
madhu-kt/rcnn
R-CNN: Regions with Convolutional Neural Network Features
madhu-kt/realtime_object_recognition
Realtime Object recognition using OpenCV 3.3 dnn module and pretrained MobileNetSSD caffe model
madhu-kt/resilientDistributedMTL
Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"
madhu-kt/smart_grasping_sandbox
A public sandbox for Shadow's Smart Grasping System
madhu-kt/spring-tutorials
Spring tutorials
madhu-kt/test