Name: Vijay S Kalmath
Type: User
Company: MS Data Science @ Columbia University
Bio: I'm an aspiring Deep Learning Engineer currently pursuing Masters in Columbia University. Looking for Deep Learning and Machine Learning Engineer Roles.
Location: New York
You can find me on 
adversarialtraining_in_distilation_of_bert
Implementation of Adversarial Training for BERT and BERT-Like Models and Analysis of effects of model compression on Robustness of a model
aoc2023
AOC 2023
autoglon_model_stellarnetwork_surgepriceprediction
Using the AutoGlon Modelling Library to build multiple models over Stellar Networks' Transaction Price for Surge Prediction
cifar10-imageclassification
Image Classification of CIFAR10 Dataset using CNNs
first-contributions
🚀✨ Help beginners to contribute to open source projects
hotel-availability-randomforestclassification
Using Randomized Search CV Random Forest to predict Hotel Availability
imageclassification-withtransferlearning
Using Transfer Learning to Classify Images
k-branch-cnns
K-Branch CNN is a variant of the commonly used CNN architecture with parallel CNN Branches.
multichannelresnet-remotesensingdata-classification
Multichannel Resnet for classification of Remote Sensing Images
multimodal-knowledgedistillation
Project Work for MultiModal Knowledge Distillation
radiology-report-genration-using-multimodal-prototypenetwork
Capstone Project for Columbia MSDS Program with Dr.Hemant Palivela
spectral-representations-for-convolutional-neural-networks
Implementation of Spectral Representations for Convolutional Neural Networks paper , Columbia University
statistical-learninginr
This Repository contains lab work for Statistical Learning in R
stock-prediction-usinglstm
Deep Learning Project using LSTM to predict future stock prices.
textattack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
uscrimeanalysis
Bookdown source files for EDAV final project
vijaykalmath
Github Profile
vijaykalmath.github.io
Personal Portfolio
xception-transferlearning
Transfer Learning with XCeption Google Pre-trained Model
xgboost_models_for_stellarnetwork_surgeprice_prediction
XGBoost Classification Model for Surge Indication and XGBoost Regression for Surge Price Modelling for Stellar Network
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
