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Name: Kartik Perisetla
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Name: Kartik Perisetla
Type: User
Company: @apple
Twitter: kartikperisetla
ACL2020 Tutorial: Open-Domain Question Answering
ajax related explorations
A curated list of references for MLOps
Reading list for research topics in multimodal machine learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
TensorFlow code and pre-trained models for BERT
C++ implementation of the Brown word clustering algorithm.
Automatically exported from code.google.com/p/bumptop
Javascript SDK for Force.com Canvas
An open-source graph database
Code for building ConceptNet from raw data.
Berkeley Stat 157 - Deep Learning course
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Demo of running NNs across different frameworks
Top Stared Deep Learning Projects
repo for creating readme/files for DPI HF datasets
DrQA repo
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Natural Language Processing framework written in python to extract definitional sentences about real world named entities from large datasets like Wikipedia and ClueWeb. The core of the framework is based on the filters, transformations, parsers, feature extractors, samplers and modelers you use. Thus it is extensible and customizable for your needs. All you need to do is extend the base functionality and write your own filters, transformations, parsers, feature extractors, samplers and modelers specific for your NLP task or datasource.
this repository accompanies the book "Grokking Deep Learning"
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
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.