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random-numbers-generator-files

Random Number Generation in C++ to a text file dinamically using INT values.

random-numbers-generators

Pseudo-random number generators (PRNG), which generate numbers that look random, but are actually deterministic, and can be reproduced if the state of the PRNG is known.

random_choices

A solution to choices being picked based on a relative probability, similar in functionality to "random.choices" with improvements to speed and readability.

range-v3

Range library for C++14/17/20, basis for C++20's std::ranges

rapidjson

A fast JSON parser/generator for C++ with both SAX/DOM style API

rat-server

An Open Source C++ Remote Administration Tool (RAT)

react-blessed

A react renderer for blessed.

react-chrono

Modern Timeline component for React

real-time-charts-with-flask

Sample application for the blog "Creating Real-Time Charts with Flask"

recognitiontest

This is a test application which uses the C++ programming to converts speech to text with a recognition algorithmn.

recordlinkage

A toolkit for record linkage and duplicate detection in Python

repositorioiasc

Repositório de código-fonte do blog Inteligência Artificial sob controle.

ressogui

Creation of terminal screen apps

rigol-oscilloscope-controller

Controlling a Rigol oscilloscope using Linux and Python.

rl-experiments

High-quality implementations of deep reinforcement learning algorithms for experiments

rl_lib

Series of deep reinforcement learning algorithms 🤖

rlcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

rlcyclea2c

RLcycle (pronounced as "recycle") is a reinforcement learning (RL) agents framework.

rpa

Basic operatin on Remote Desktop Connection using Robotic Process Automation

rpa-python

Python package for doing RPA

rpa_desktop_system

rtmp

RTMP Server , RTMP Pusher , RTMP Client

salmon

SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

samples

satellite-image-segmentation

Satellite Image Segmentation using Deep Learning

scte35-parser

SCTE 35 Parser in C

segmentation-images-dl

# Segmentation_Images_Deep_Learning. The aim of this work is to segment images using the "deep-learning" with caffe.

segmentation_images_deep_learning

sentiment-analysis-bert.pytorch

IMDB Sentiment Analysis with BERT

sentiment-analysis-with-deep-learning-using-bert