rebus013's repositories
BabyGAN
StyleGAN-based predictor of children's faces from photos of theoretical parents.
backgroundremover
Background Remover lets you Remove Background from images and video with a simple command line interface that is open source.
camelot
Решение с извлечение таблиц из pdf Camelot: PDF Table Extraction for Humans
Deep_Learning_Real_Estate_Demo
A project for a class on neural networks where a deep-learning network was used to predict house prices.
DFDNet
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
FundamentalAnalysis
Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.
hair
remove image background
image-background-remove-tool
🥧 A tool for removing background from photos with neural networks 🥧
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
King_County_Housing_Price_Prediction
This project is a linear regression modeling of kings county housing price prediction. The data set was provided by Flatiron School for Data Science Immersive course.
MODNet-BGRemover
A deep learning approach to remove background & adding new background image
Multi-layer-artificial-Neural-Network-for-Estimating-Real-Estate-Prices
The estimation of real estate prices, are a useful and realistic approach for buyers and for local and fiscal authorities. It is of utmost importance to evaluate the current status of the market and predict its performance over the short term in order to make appropriate financial decisions. We will use two advanced modelling approaches Multi-Level Models and Artificial Neural Networks to model house prices. This approach is compared with the standard Hedonic Price Model in terms of accuracy in prediction, collecting the location information and their explanatory (interpretation) power. This project presents the development of a multi-layer artificial neural network-based models to support real estate investors and home developers in this critical task. The models utilize historical market performance data sets to train the artificial neural networks in order to predict unforeseen future performances. An application example is analyzed to demonstrate the model capabilities in analyzing and predicting the market performance. Given a set of values describing a house up for sale, a selling price is to be estimated based on the previous data. Before getting into predicting the sale-price of the house, exploratory data analysis will be performed to find out features having the highest weights in determining the same.
NeuralNetworkRealEstate
Working with neural networks for the first time attempting to predict accurately the price or number of rooms of various listings in Bucharest found on the website www.imobiliare.ro
opencv-video-minimal
OpenCV 4.2 with Python3.8 and video support (FFMPEG, GStreamer, gPhoto2) based on Alpine Linux 3.10
OpenCV_ImageBackgroundRemoval
Remove image background and shadows
predicting-housing-prices
*Winning Model* Competition to build a linear regression model that predict housing prices in Kings County, WA (Flatiron Project 2)
python-xbrl
xbrl parser written in Python :bulb:
QtAdMob
QtAdMob is a C++ lib for Qt with QML support, which allows to show ads from AdMob on Android and iOS platforms
real_estate_valuation_example
Simple implementation of neural network architecture for real estates valuation
rembg
Rembg is a tool to remove images background.
restyle-encoder
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
SAM
Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
StyleGAN2-Face-Modificator
Simple Encoder, Generator and Face Modificator with StyleGAN2
Table-Extraction
This repository contains the code for developing the TableNet architecture using pre-trained DenseNet121 as the encoder
ThePassiveInvestor
Passive Investing for the Average Joe
training
kvazis home assistent training
U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."