SAIKAT PANDIT's Projects
Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
Node.js client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
Node.js samples for Google Cloud Platform products.
Jupyter Interactive Notebook
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Intro To Data Science Workshop for Open Data Science Conference 2015
Official Joke API!
Open Neural Network Exchange
ONNX Runtime: cross-platform, high performance scoring engine for ML models
The Open Event Organizer Server to Manage Events https://api.eventyay.com | http://open-event-api.herokuapp.com
Pre-trained Deep Learning models and samples (high quality and extremely fast)
Open Source Computer Vision Library
Open Source OpenVINO Edge developement and deployment on Google Colab using OpenDevNotebooks
Game developers often use OpenGL to handle the rendering chores for graphics-intensive games. OpenGL is an application programming interface for efficiently rendering two- and three-dimensional vector graphics. The code samples are a series from Grahics API developer guide for for 6th generation Intel® Core™ processor (https://software.intel.com/en-us/articles/6th-gen-graphics-api-dev-guide) that demonstrates how to get the most out of OpenGL 4.4 and higher.
This repository contains all the code, models, scripts and reports for flagging probable vulnerabilities for the gokube-openshift eco-system
Sample Python Applications for DL Inference with OpenVINO
Open source Python module for computer vision
Intel® Distribution of the OpenVINO™ Toolkit to build a People Counter app
Deploying a people counter application on edge with Intel OpenVino Toolkit
Streaming pivot visualization via WebAssembly
Play with neural networks!
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
This is the code for the SF Python meetup group tutorial on reinforcement learning
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
PyTorch tutorials demonstrating modern techniques with readable code