Khushhall Chandra Mahajan (khushhallchandra)

khushhallchandra

Geek Repo

Company:Facebook

Location:Menlo Park

Home Page:https://khushhallchandra.github.io

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Khushhall Chandra Mahajan's repositories

EE677-VLSI-CAD

Algorithms and data structures: efficient representation of graphs; Elementary graph algorithms involving bfs and dfs trees, such as finding connected and 2- connected components of a graph, the minimum spanning tree, shortest path between a pair of vertices in a graph; Data structures such as stacks, linked lists and queues, binary trees and heaps. Time and space complexity of algorithms.

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Computer-Vision-Assignment

This repo contains all the assignment solution for the Computer vision course - CS763

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DSP-Lab

Lab work for Digital Signal Processing

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Deep-Learning-Project

Project for the Advanced Machine Learning Course

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GNR-607

Course Project

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Big-Number

This repo contains code for addition multiplication for very large numbers

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Carrom_rl

A Pygame+Pymunk Carrom Simulation Testbed for reinforcement learning. [CS747][ Foundations of Intelligent and Learning Agents]

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Control-Lab

Lab work for control system

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Deep-Segmentation

Deep Learning methods for semantic segmentation with weakly labelled data

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EE717

Assignment solutions for course EE 717 Advanced Computing for Electrical Engineers

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improved-gan

code for the paper "Improved Techniques for Training GANs"

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Inverted-pendulum

This project is being done as a part of Electronic Design Lab

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kaggle-dsb2-keras

Keras tutorial for Kaggle 2nd Annual Data Science Bowl

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ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

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machine-learning-coursera

Assignments for coursera machine learning course

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Microprocessor-lab

This repository contains assembly codes.

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neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

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openai-cartpole

random search, hill climbing, policy gradient

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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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simanneal

Python module for Simulated Annealing optimization

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SPOJ

Spoj solution

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UFLDL-Tutorial

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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