nm-narasimha,Narasimha Medeme,github

arogozhnikov.github.io

'Brilliantly wrong' blog, Machine Learning visualizations live here

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-vector-database

A curated list of awesome works related to high dimensional structure/vector search & database

collaborative-deep-learning-for-recommender-systems

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset. The resluts are summarized in "collaborative-deep-learning.pdf".

deep-bandits-ts-tutorial

linear contextual Thompson Sampling, deep NN contextual Thompson Sampling

deep-learning-keras-tensorflow

# Deep Learning with Keras and Tensorflow

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

iterative-proportional-fitting

Iterative Proportional fitting technique to create sample weights such that data is representative of the target dataset or distributions. In statistics, a sample statistic would be biased if sample is not representative of the "population". In ML/AB context, impact of an treatment in an experiment (treatment vs control) or impact of an attribute in an "explainable" model would be biased/incorrect if the distribution of the sample on features is not accurate.

kalman-and-bayesian-filters-in-python

Forked from Rlabbe master branch in July 2023 - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-cdl

Keras implementation of Collaborative Deep Learning

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

multiobj_multiarmbandits

Notebooks explaining Multi objective optimisation with Pareto Frontier, and how to do Multi Arm Bandit Thompson Sampling with multiple objectives (Pareto-MOMAB)

nips2016

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016

odsc_2019-multi-modal-learning

ODSC 2019 Workshop : https://confengine.com/odsc-india-2019/proposal/9276/person-identification-via-multi-modal-interface-with-combination-of-speech-and-image-data