Silambarasan Madanakumar (SilambarasanM)

SilambarasanM

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Location:New York, USA

Home Page:www.linkedin.com/in/silambarasanm

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Silambarasan Madanakumar's starred repositories

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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DeepReinforcementLearning

CS 294: Deep Reinforcement Learning, Spring 2017 Berkeley

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lectures

Oxford Deep NLP 2017 course

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self-driving-car

The Udacity open source self-driving car project

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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Faster-High-Res-Neural-Inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

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applied-machine-learning

Applied Machine Learning @ http://amitkaps.com/ml

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TopDeepLearning

A list of popular github projects related to deep learning

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minpy

NumPy interface with mixed backend execution

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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linux-sysadmin-interview-questions

Collection of Linux Sysadmin/DevOps interview questions

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cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

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ctci

Cracking the Coding Interview, 5th Edition

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code-problems

Common code and interview problems solved in multiple languages

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awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

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system-design-interview

System design interview for IT companies

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system_design

Preparation links and resources for system design questions

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trufflehog

Find, verify, and analyze leaked credentials

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main

Main course repository for CS585: NLP at IIT

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jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

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interview

Interview questions

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is-SilambarasanM

SilambarasanM

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machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

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datascience-anthology-pydata

PyData, The Complete Works of

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pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

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markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

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