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Name: Kunal Lalwani
Type: User
Name: Kunal Lalwani
Type: User
On this repository I will be updating all the stuff that I do every day related to Machine Learning for the 100DaysofMLCode Challenge proposed by Siraj Raval.
List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
AI residency programs information
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
My personal website
List of AI Residency Programs
A curated list of awesome computer vision resources
A curated list of deep learning resources for computer vision
A curated list of awesome Machine Learning frameworks, libraries and software.
- Predicting Stability after COVID-19 How long will it take for the number of travelers from China to the USA to rebound back to pre-outbreak baseline travelers during the COVID-19 outbreak based on SARS outbreak analysis? The Problem The threat of a megavirus has been an impending source of fear for the global society. From the Bubonic Plague of the 1350s to diseases like SARS, the idea of mass sickness and death has loomed. Although our medical technology has come along way and is rapidly increasing, epidemics cause global anxiety, which is only exacerbated by the media. As we find ourselves in the midst of COVID-19, the coronavirus, we believe it is integral to contain fear with the inference of past results through science. By carefully studying a previous epidemic stemming from China, we have produced predictions to aid in comforting people during this time. Large scale fear also has economic implications. Many people hold onto their money instead of spending it when there is uncertainty about the future, which can lead to recessions in the economy. From the perspective of investors, it may keep a lot of business to be able to give clients an estimation of when the market will reach its original levels before the outbreak.
A Simple Deep Neural Network to classify images made with Keras
Codejam, apac, kickstart, I/O for Women... 2017, 2016, 2015, 2014... All solutions here!
This repository contains coding interviews that I have encountered in company interviews
Question solved on various competitive sites :metal:
Robs manual for the computational genomics and bioinformatics class
Analyzing Airline data to predict delays
Interview stuff for friends
Building a classifier model for the Multivariate Time Series data using LSTM in Keras
A collection of various deep learning architectures, models, and tips
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Compilation of resources and insights that helped me on my journey to data scientist
Global Artificial Intelligence Conference: Data Visualization - From Square One to Interactivity
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.