Pinned Repositories
100DaysOfML
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
Advances-in-Data-Sciences-and-Architecture
Repository for Data Sciences course.
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
apparate
Make your libraries magically appear in Databricks.
autoweka
Auto-WEKA
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-ehr-deeplearning
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
bramamoorthy's Repositories
bramamoorthy/100DaysOfML
bramamoorthy/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
bramamoorthy/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
bramamoorthy/awesome-snowflake
A curated list of resources about Snowflake
bramamoorthy/BentoML
Model Serving Made Easy
bramamoorthy/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
bramamoorthy/CISSP-Study-Guide
study material used for the 2018 CISSP exam
bramamoorthy/CommonDataModel
Definition and DDLs for the OMOP Common Data Model (CDM)
bramamoorthy/DALEX
moDel Agnostic Language for Exploration and eXplanation
bramamoorthy/data-science-interviews
Data science interview questions and answers
bramamoorthy/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
bramamoorthy/driverlessai-tutorials
H2OAI Driverless AI Code Samples and Tutorials
bramamoorthy/ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
bramamoorthy/fiftyone
FiftyOne: a powerful package for dataset curation, analysis, and visualization
bramamoorthy/gym
A toolkit for developing and comparing reinforcement learning algorithms.
bramamoorthy/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
bramamoorthy/healthcare
bramamoorthy/hotel-modelling
Predicting Hotel Cancellations and ADR with machine learning. Classification, regression, time series analysis.
bramamoorthy/LifeSciencesTrainingDatasets
A collection of datasets and accompanying scripts for learning how to analyse data
bramamoorthy/machine_learning_examples
A collection of machine learning examples and tutorials.
bramamoorthy/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
bramamoorthy/Neural-GC
Granger causality discovery for neural networks.
bramamoorthy/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
bramamoorthy/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
bramamoorthy/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
bramamoorthy/scikit-survival
Survival analysis built on top of scikit-learn
bramamoorthy/stellargraph
StellarGraph - Machine Learning on Graphs
bramamoorthy/Streamlit-Mechanics-Examples
A repository to store all my Streamlit code snippets used to demonstrate the mechanics of Streamlit
bramamoorthy/studio
Studio: Simplify and expedite model building process
bramamoorthy/tech-talks
This repository contains the notebooks and presentations we use for our Databricks Tech Talks