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Name: Sangram Gaikwad
Type: User
Name: Sangram Gaikwad
Type: User
The world's simplest facial recognition api for Python and the command line
Financial Sentiment Analysis with BERT
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Following Official Flask tutorial for buidling and testing sample flask project
Formula AI 2022 Hackathon
A collection of free courses about programming
Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019
links to conference publications in graph-based deep learning
Hands-On Artificial Intelligence for IoT, published by Packt
HDP Spark 2 client with zulu-openjdk 8
My first repo on GITHUB
Growing the code out of your notebooks - the right way.
A brazen two-column theme for Jekyll.
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
AOSP keyboard extented with Indic languages
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
A Deep Introduction to Julia for Data Science and Scientific Computing
Pipeline from S3 to Athena filtered back to S3 and then to Dynamodb
My Projects
JSALT 2019 Montréal: Dive into Deep Learning for Natural Language Processing
Jupyter notebook wrapper for plotly dash applications
Multi-user server for Jupyter notebooks
Reference deployment of JupyterHub with docker
Example for experimenting with how JupyterHub can be configured to work with Kerberos
Reference deployment of ESDL JupyterHub with Docker & Docker Swarm 1.13+
Tutorial materials for deploying JupyterHub
A Token Authenticator for JupyterHub
KDD Hands-On Tutorial (2018)
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.