anuprulez
Machine learning researcher/Data scientist, University of Freiburg, Germany. I love building scalable, reproducible machine learning toolkits.
@galaxyproject @BackofenLab @conda-forgeFreiburg, Germany
Pinned Repositories
BinaryTree
Operations on a Binary Tree
clade_prediction
Sequence generation/sequence to sequence learning using amino acid sequences of Corona virus (SARS-COV2) by training on generative adversial network (GAN)
galaxy_tool_recommendation
Galaxy tool recommendation
galaxy_tool_recommendation_transformers
Galaxy tool recommendation using transformers
GaussianProcessRegression
Gaussian Process Regression
ml-jupyter-notebook
GPU-enabled docker container with Jupyterlab for artificial intelligence
galaxytools
:microscope::books: Galaxy Tool wrappers
galaxy
Data intensive science for everyone.
training-material
A collection of Galaxy-related training material
gpu-jupyterlab-docker
GPU-enabled docker container with Jupyterlab for artificial intelligence
anuprulez's Repositories
anuprulez/BinaryTree
Operations on a Binary Tree
anuprulez/TeamSplit
Chef wants to split a team of new chef into two teams to play a game. In order to make the split, he first designates two team captains who take alternate turns selecting players for their teams. During each turn, the captain selects a single player for his team. Since each captain wants to make the strongest possible team, he will always select the best available player. The players have strengths as integer number, where higher strength indicate better players. After all the players have been selected, the team strength is computed as the sum of the strengths of the players on that team. For example, if strengths of 5 players are 5,7,8,4 and 2, then the first captain selects the player with strength 8 for his team, the second captain gets the player with strength 7, the first gets the one with strength 5, the second the one with strength 4, and the last one (strength 2) goes to the first team. The first team now has a total strength 8+5+2=15, and the second team has strength 7+4=11. Now Chef wants to find the absolute strength difference between the two teams. For the example above the answer is 4(=|15-11|). But Chef does not know exact strengths of each player. He knows some parameter a, b, c and d and a formula to find the strength of each player. The formula is S0 = d, Si = (a * Si-12 + b * Si-1 + c) mod 1000000, for i = 1 to N - 1 There are N players numbering 0 to N-1 and Si is the strength of player i. Input First line of the input contains an integer T, number of test cases to follow. Each test consist of single line containing five integers N, a, b, c and d. Output For each test case, you have to print a single line containing the absolute strength difference between the two teams. Constraints 1 ≤ T ≤ 50 1 ≤ N ≤ 3000000 0 ≤ a, b, c, d ≤ 100 Example Input: 4 1 1 1 1 1 2 1 1 1 1 3 1 2 3 4 4 2 3 4 1 Output: 1 2 763 74896
anuprulez/aima-python
Automatically exported from code.google.com/p/aima-python
anuprulez/BreadthFirstSearch
anuprulez/circularqueue
anuprulez/doublylinkedlist
anuprulez/ember.js
Ember.js - A JavaScript framework for creating ambitious web applications
anuprulez/GameOfPips
All submissions for this problem are available. Sherlock is now taking a break from his current case and starts reviewing his famous case of "The N Orange Pips". He slips too deep into the case and gives you a puzzle. Sherlock has N boxes consisting of orange pips. The ith box contains Ai orange pips. He now wants you to take out some pips from each box (you may leave some boxes untouched), such that in all the boxes the remaining number of pips is odd and equal to each other. Also, for each box, the number of pips present after the removal must be a factor of the original number of pips that were present in the box. You need to take as minimum number of pips as possible. Now Sherlock asks you to tell the number of pips each box will have. Input The first line consists of the number of boxes, N. N integers follow, each having a single integer, denoting the number of pips in each box. Output A single integer denoting the number of pips each box will have. Constraints 1 ≤ N ≤ 10^5 1 ≤ Ai < 2^63 Example Input: 4 98 42 14 28 Output: 7
anuprulez/GoogleMapWithAngular
anuprulez/gradientdescent.py
Gradient Descent Algorithm
anuprulez/Hashing1
Simple problem of division using Hashing
anuprulez/JUIME
JQuery UI MVC Extensions
anuprulez/longest_sequence
Longest non-decreasing sequence using Dynamic Programming
anuprulez/ObserverPattern
C++ code for Observer pattern from Head First Design Pattern book
anuprulez/PredictiveModel_pipeline
PredictiveModel_pipeline
anuprulez/Projects
anuprulez/pushfromlocal
Sample push code from local system
anuprulez/QueueLinkedList
anuprulez/rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano
anuprulez/StackThroughLinkedList
anuprulez/StrategyPattern
c++ code using Strategy Design Pattern (HeadFirst Design Pattern book example)
anuprulez/sum_of_coins_dynamic_programming
Dynamic Programming
anuprulez/SuperSAB
Gradient Descent Algorithm
anuprulez/todomvc
Helping you select an MV* framework - Todo apps for Backbone.js, Ember.js, AngularJS, and many more
anuprulez/ViolentPython
anuprulez/word2vec
Python implementation of Word2Vec using skip-gram and negative sampling