Maxim Isaev's repositories
coral-cnn
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
Data-Frames
Pr 2: Analyzing tweets via SparkSQL
docker-brat
Dockerized brat
FPGrowth
Practice 3: Spark MLlib - Market Basket Analysis via FPGrowth
linux-fork
This task simply shows how many processes on Linux are created by the fork() method depending on the number of calls to it.
Logistic-Regression
Practice 4: Spark MLlib
own-shell
This task involves writing your own simplified shell shell to call simple Linux console commands without arguments. This code is not aimed at writing your own algorithms for outputting the command result, but is intended to help you understand how programs written in C work when they are run in Linux, and also shows a way how you can write your own commands if you suddenly decide to write your own teams. This code works and accepts the commands shown in the listing until you write the output.
Spark-Words-Count
Pr 1: Calculating the frequency of each term in the file using the MapReduce programming paradigm
WPODNet-Pytorch
The implementation of ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios" in PyTorch