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algorithms-and-coding-interviews

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

ankushtale

ankushtale.github.io

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awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bayesian_global_optimization_in_cnn

<Work in progress>This project demonstrates application of Gaussian Processes to effectively selecting best hyper-parameter for a model. This is part of CSE569-Fundamentals of Statistical Learning Course by Prof. Hemanth Venkateswara.

bi_hackathon_2019

<Work in progress> demo code for BX India Hackathon 2019 (Dt: April 15, 2019)

cnn_from_scratch

Practical implementation of Convolutional Neural network from scratch including forward+backward Prop, dropout, various activation, optimization and loss functions etc.

cse569fundamentalsofstatisticallearning

cse572-hw1-cgmdataanalysis

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

mealdetectionfortype1diabetes

Given multiple timeseries from CGM data for a 2.5 hour window, our objective is to predict wheather the timeseries belongs to a meal intake or not.

mutation_network_sar2cov_covid19

In this repo, we explore the mutational network for SARS-Cov-2 Virus in leiu of answering questions w.r.t it's connections to other coronaviruses like SARS-2002, Civet-2002 etc.

negative_selection_for_anamoly_detection

Anomaly Detection with Negative Selection Algorithm an Immune inspired classification algorithm

non_linear_parameter_optimization_with_genetic_algorithm

Non Linear Parameter Optimization in Three Agent Richardson Model with Genetic Algorithms

presentations

Includes talks and associated code

pytext

A natural language modeling framework based on PyTorch

quantum_machine_learning

This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube

seq2sql

The project contains tutorials and resources for the sequence to sql technieques.

video_compression_experiments

This is a repo for a research topic in video compression. Most of the repo would stay private until the research has been published