Vaibhav Jain (vaibhav29498)

vaibhav29498

Geek Repo

Company:Google

Location:New Delhi

Twitter:@vaibhav29498

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Vaibhav Jain's repositories

HackerrankProjectEuler

Hackerrank ProjectEuler+ solutions

News-Classification-using-Ensemble-Deep-Learning

A comparative study of the performance of individual and ensemble deep learning models in the multiclass text classification problem.

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GloVeInit

Implementation of the GloVeInit model for SemEval-2020 Task 1 sub-task 2: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection

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Toxic-Spans-Detection

Code for the paper "Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection"

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Coursera-Stanford-ML-Python

Coursera/Stanford Machine Learning course assignments in python

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Digit-Recognizer

A comparative study of different neural networks and their performance on the MNIST dataset.

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AI4M

Repo for deeplearning.ai AI for Medicine courses

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Binge

A content-based anime recommender.

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Codeforces-solutions

C++/Python solutions for Codeforces problems

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Cross-Domain-Ambiguity-Detection

Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces

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cosmos

Your personal library of every algorithm and data structure code that you will ever encounter [Show some love by 🌟]

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cowin-slots

Are vaccination slots available for my age group in my pin code?

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decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

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ethnic_bias

EMNLP 2021

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fast_align

Simple, fast unsupervised word aligner

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gensim

Topic Modelling for Humans

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GloVe

GloVe model for distributed word representation

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IMDB-Analyzer

A python program to analyze the ratings made by an IMDB account

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Issue-Label-Recommender

A supervised learning project to predict labels for a git issue.

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msgraph-sdk-dotnet-core

The core Microsoft Graph client library for .Net. (Microsoft.Graph.Core)

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scikit-learn

scikit-learn: machine learning in Python

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seq2seq-con

Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"

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titanic-kaggle

Machine Learning models for Kaggle's 'Titanic: Machine Learning from Disaster' competition

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wowchemy-hugo-themes

🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, build with widgets! 创建在线课程,学术简历或初创网站。

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