Pinned Repositories
ajeyamk
Config files for my GitHub profile.
ajeyamk.github.io
Portfolio website
algorithms
cs-5800
causalvae
DoubleDIP
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
hackdarthmouth-5
virtual guidance counselor developed at Hackdartmouth - 5
icycle
Smart inventory management system adjunct with loyalty system that promotes user to recycle non-degradable materials, with a mobile application built on MySQL, Django and QR technology.
linear-algebra
DS-5010
MSstatsConvert
Converter functions for the MSstats package
Santander-bank-transaction-prediction
Project for the supervised machine learning course DS5220
ajeyamk's Repositories
ajeyamk/ajeyamk
Config files for my GitHub profile.
ajeyamk/causalvae
ajeyamk/DoubleDIP
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
ajeyamk/MSstatsConvert
Converter functions for the MSstats package
ajeyamk/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
ajeyamk/awesome-causality-algorithms
An index of algorithms for learning causality with data
ajeyamk/brown-datathon-2020
Brown Datathon 2020 - Developed potential homebuyers in a ZIP9
ajeyamk/causalML-lecturenotes
Lecture notes for the Causality in Machine Learning course
ajeyamk/challenges
ajeyamk/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
ajeyamk/Data-Science--Cheat-Sheet
Cheat Sheets
ajeyamk/data-science-resources
Curated list of articles and resources for data science
ajeyamk/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ajeyamk/ds-5230-uml
DS 5230 Unsupervised machine learning summer 2020
ajeyamk/fastbook
The fastai book, published as Jupyter Notebooks
ajeyamk/hackerrank-challenges
ajeyamk/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
ajeyamk/java-projects
Java coding practice and algorithms
ajeyamk/jigsaw-nlp
Jigsaw Unintended Bias in Toxicity Classification. To detect toxicity across a diverse range of conversations.
ajeyamk/ml-videos
A collection of video resources for machine learning
ajeyamk/mlflow
Open source platform for the machine learning lifecycle
ajeyamk/MSstats-dev
Experimental version of the MSstats package
ajeyamk/MSstats_testing
ajeyamk/MSstatsTMT
ajeyamk/nri-nginx
New Relic Infrastructure Nginx Integration
ajeyamk/practicalAI
📚 A practical approach to machine learning.
ajeyamk/pytorch-tutorials
ajeyamk/sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
ajeyamk/StructuredPrior_demo
Demonstration codes for 'The spiked matrix model with generative priors'
ajeyamk/tmls-workshop
Toronto Machine Learning MLflow Workshop