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imrishavraj's Projects

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

competitive-programming-learning-path icon competitive-programming-learning-path

The thing that is unique about this document is that this will contain everything required for competitive programming. People generally have confusion about where to start. We are completely self learned. So, we know where students generally face issues during beginning. This document will cover every topics required in competitive programming. We only assume that you know basic mathematics. The things will eventually get easy as you will move forward in your learning journey. People generally says everything is available on the web for free. Obviously, this is true. But, you need to know form where to learn. We will fulfill that gap through this document. Just follow the instructions step by step. We will also solve lot of good problems. We will also provide you some books at last, in case you want to delve deep.

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepprivacy icon deepprivacy

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

imagescrapper icon imagescrapper

This project is for learning purpose. If you need some of the images to be downloaded without going to google or nay other website . You can simply pass in the name of the image in the UI and it will download and store the image for you in mongoDB.

mexican-government-report icon mexican-government-report

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

stringsifter icon stringsifter

A machine learning tool that ranks strings based on their relevance for malware analysis.

tiler icon tiler

👷 Build images with images

tubemq icon tubemq

TubeMQ focuses on high-performance storage and transmission of massive data in big data scenarios

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