- New York
- http://sudharsana-kjl.github.io/
Highlights
Stars
📚 Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.
Node.js samples for Google Cloud Platform products.
A tool for refactoring code related to feature flag APIs
This repository consists of useful links for study materials for those aspiring carrer in AWS
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
Bandit is a tool designed to find common security issues in Python code.
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
Low-code framework for building custom LLMs, neural networks, and other AI models
Platform for building AI that can learn and answer questions over federated data.
Warp speed Data Transfer (WDT) is an embeddedable library (and command line tool) aiming to transfer data between 2 systems as fast as possible over multiple TCP paths.
A curated list of awesome projects which use Machine Learning to generate synthetic content.
Email clustering with machine learning
The Annoying Site a.k.a. "The Power of the Web Platform"
The best React-based framework with performance, scalability and security built in.
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness,…
⭐️ Companies that don't have a broken hiring process
☝️One <div>. Many possibilities.
Implementation of Everybody Dance Now by pytorch
Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry