Arneish Prateek's repositories
CUDA-PCA-jacobi
CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.
parallel-PCA-openmp
A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
facebook-chrome-extension
An Extension to scrape all Facebook Profile IDs that 'like' a Facebook Page owned by the user, with basic easy-to-understand source code. Support only for domain www.facebook.com on Google Chrome in Developer mode. Built on Javascript.
parallel-k-means
A parallelised implementation of the K-means clustering algorithm using C Pthreads and separately using OpenMP specification for C
unity2D-paratroopers-game
Codebase for our very own game "Paratroopers 2018" developed on the Unity-2D engine in C# and Javascript. The game is a modern-day version of the classic 1982 MS DOS-based game "Paratrooper", written by Greg Kuperberg and published by Orion Software.
MPI-pattern-matching
A C++ implementation of a periodic-pattern matching parallel algorithm using MPICH 3.2 implementation of the MPI distributed-computing standard
graph-theory-algorithms
An (under-construction) library of graph theory algorithms implemented in C++ using C++ STL
BlackjackPlayer_AI
Blackjack Agent based on Markov Decision Processes (MDP) solved using value-iteration.
hangman-ml
Hangman player
arneish.github.io
My GitHub website
DataMiningEvals_shared
Public repo for Homework-related materials from the teaching staff for COL761, Semester-1, 2018-19
dynamic-programming
My own implementations of some dynamic programming problems in C++11
parallel-prog
All coursework-related assignments and codes for parallel-programming and distributed-computing (COL380/IIT Delhi)
PropositionalLogic
An Implementation of Semantic Tableaux Method to establish validity, consistency or inconsistency of a Propositional Logic expression
col106-iit-dsa
Practical/grading resources for COL106 (Data Structures & Algorithms), Sem-II 2018-19 IIT Delhi
NeuralNets
A Python implementation of a generalised Neural Network with (a) sigmoid activations and (b)ReLU activation functions. The network accepts the number of layers and the number of perceptrons in every layer as input parameters and contructs the Network in a fully connected manner (that is, every perceptron in a layer is connected to every perceptron in the following layer). The network is trained and tested with the MNIST dataset.
SML_functional
Assignment problems on functional programming in Standard Meta Language (SML/NJ)
Yinsh-Bot-AI
A smarter Yinsh agent
CSM-public
Top-k correlated subgraph mining (private)
helloworld
testing Travis CI build for cpp and Python
Quantum-Algortihms
Implementation of Quantum Algorithms (incomplete)
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.