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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

bert_research

TensorFlow code and pre-trained models for BERT

commonlit-readability

Can machine learning identify the appropriate reading level of a passage of text, and help inspire learning? Reading is an essential skill for academic success. When students have access to engaging passages offering the right level of challenge, they naturally develop reading skills. Currently, most educational texts are matched to readers using traditional readability methods or commercially available formulas. However, each has its issues. Tools like Flesch-Kincaid Grade Level are based on weak proxies of text decoding (i.e., characters or syllables per word) and syntactic complexity (i.e., number or words per sentence). As a result, they lack construct and theoretical validity. At the same time, commercially available formulas, such as Lexile, can be cost-prohibitive, lack suitable validation studies, and suffer from transparency issues when the formula's features aren't publicly available. CommonLit, Inc., is a nonprofit education technology organization serving over 20 million teachers and students with free digital reading and writing lessons for grades 3-12. Together with Georgia State University, an R1 public research university in Atlanta, they are challenging Kagglers to improve readability rating methods. In this competition, you’ll build algorithms to rate the complexity of reading passages for grade 3-12 classroom use. To accomplish this, you'll pair your machine learning skills with a dataset that includes readers from a wide variety of age groups and a large collection of texts taken from various domains. Winning models will be sure to incorporate text cohesion and semantics. If successful, you'll aid administrators, teachers, and students. Literacy curriculum developers and teachers who choose passages will be able to quickly and accurately evaluate works for their classrooms. Plus, these formulas will become more accessible for all. Perhaps most importantly, students will benefit from feedback on the complexity and readability of their work, making it far easier to improve essential reading skills.

covid-19-data

KFF Data on Coronavirus

data-science-hackerearth-competions

ebay-review---sentiment-analysis

education_platform

handgesture-recognition

In this project hand can be tracked and can be used to paint and click photo.But the click photo yet to be defined...

hierarchy-program

Engineer will have first child as engineer, second as doctor, doc will have first child doc , second as engineer, generation starts with engineer and doubles every generation.. because all will have 2 kids so 1st gen = E 2nd gen = ED 3rd gen = EDDE 4TH gen = EDDEDEED and so on … given generation number and child number , say if that child is engg or doc

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

mlb-user-engagement

papersessions

In this repository, I keep track of papers along with resources which helps me in doing my independent research

spark-programming-in-python

Apache Spark 3 - Spark Programming in Python for Beginners

transformers

Learning Transformers

translator

understanding-streamlit