Mukund Raghav Sharma (Moko) (MokoSan)

MokoSan

Geek Repo

Company:@microsoft

Location:San Diego, CA

Home Page:https://linktr.ee/mrsharm

Twitter:@MokoSharma

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Mukund Raghav Sharma (Moko)'s repositories

IntelligentInvestor

Notes from the Intelligent Investor by Benjamin Graham

AtomicHabits

Notes from the Atomic Habits by James Clear

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ChecklistManifesto_Notes

My notes from the Checklist Manifesto by Atul Gawande

FSharp-Advent2018

An Introduction to Probabilistic Programming in F#

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TwitterSentimentAnalysis

Experimenting with Political Leaders' Tweets and SPY range movements for UWisconsin's Masters in Data Science Program for Programming for Data Science.

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XavierInitializationExperiments

Experiments with Tensorflow to Replicate Experiments for the Xavier Initialization Deep Learning Optimization

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Bayesian-Inference-in-FSharp

My FSharp Advent 2020 submission related to conducting Bayesian Inference in F#

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ISuckAtAlgorithms_FFT

I investigate the theory behind the Fast Fourier Transform and implement it in python.

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BatchNormalizationExperiments

Batch Normalization is technique to improve training a Neural Network by reducing Covariant Shift and this repository contains experiments pertinent to the White Paper.

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DialoGPT

Large-scale pretraining for dialogue

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FinancialAccounting

Notes for the Financial Accounting LinkedIn Course

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GP

.NET Core implementation of Gaussian Processes

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hoff-bayesian-statistics

R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

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Kneedle

Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#

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KNN_Python

KNN Implementation in Python

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PredictingLoanDefaults

Project: Predicting Loan Defaults with Logistic Regression

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pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

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Stoicon2020

My notes for the 2020 Stoicon Conference.

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tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

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vs-streamjsonrpc

The StreamJsonRpc library offers JSON-RPC 2.0 over any .NET Stream, WebSocket, or Pipe. With bonus support for request cancellation, client proxy generation, and more.

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