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Name: JEEVANSHI SHARMA

Type: User

Bio: Machine Learning Engineer

Twitter: _Jeevanshi_

Blog: femme-js.github.io

Namaskar! I am Jeevanshi Sharma.

Jeevanshi is a Masters in Computing Science student at University of Alberta, Canada. She is majorly working around the ideas that intersect Language, Cognition and Machine Intelligence. She has been a Mitacs Globalink Research Intern in 2020 at Dalhousie University, Halifax, Canada. Recently, she worked as a Data Science Intern at Emplay, Dublin, CA, contributing to developing keyphrases generation api end-to-end and creating models to detect toxicity in user’s feed for fortune 500 clients. She has been a memeber of the Centre for Interdisciplinary Biomedical and Human Factors Engineering directed by Prof. Yusuf Uzzaman Khan who has also been her thesis-advisor.

She loves to participate in hackathons, perform theatre or learn about Jung’s Ideas on understanding the psyche. Her inspiration to work in the field of Machine Learning came from her immense desire to understand about human brain in a more comprehensive way. Her curosity about the philosiphical and psychological ideas explaining the phenomenons not explained by science, makes me fiddle around the ways that can explain those ideas on empirical data. Apart from it, she loves Music, Mythological Stories, Theatre, and Books.

I am open to collaborated on research projects in the NLP domain. I am especially interested in ambiguity problems in natural language understanding, and common sense reasoning, but I am open to trying new ideas as well.

💬 Open for research collaboration
📋 Currently working on: Oscialltion activation functions for CNNS
📫 How to reach me: [[email protected]]
😄 Pronouns: She/Her

JEEVANSHI SHARMA's Projects

.github

Community health files for the @GitHub organization

.github-1

Location of all reusable community health files

100-days-of-ml-code

100 Days of ML Coding

100daysofmlcode

100daysofmlcode-1

This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

academic_portfolio

albert-pytorch

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

alberta-wildfire

am

anime-face-gan-keras

A DCGAN to generate anime faces using custom mined dataset

anushkrishnav

anzen

Fake Profile Detecting Platform!

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

assignments-yun

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blog

brihaspati

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

canvasboard

An interactive board with plugins focusing on replacing the need of multiple platforms for teaching, presenting, managing or explaining your ideas 🌎

cheat-sheets

Data Science Cheatsheets

cocomo

COCOMO-II SIMULATOR

cv_papers

This repo contains implementation of all the basic CV architectures

deap-eeg-classification

EEG-based emotion classification using DEAP dataset

deep-learning-with-tensorflow

All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow

deep-sort-pytorch

Simple Online and Realtime Tracking with a Deep Association Metric

denoising-autoencoder-cifar-10

Implemented a denoising a denoising algorithm on cifar-10 dataset

efficient-computing

Efficient computing methods developed by Huawei Noah's Ark Lab

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