Visualization

Forecasting directional movements of stock-prices for intraday trading using LSTM and random-forest

Stock-market-forecasting Forecasting directional movements of stock-prices for intraday trading using LSTM and random-foresthttps://arxiv.org/abs/2004.10178Pushpendu Ghosh, Ariel Neufeld, Jajati K Sahoo We design a highly profitable trading stratergy and employ random forests and LSTM networks (more precisely CuDNNLSTM) to analyze their effectiveness in forecasting out-of-sample directional movements of constituent stocks of the S&P 500, for intraday trading, from January 1993 till December 2018. Bibtex @article{ghosh2021forecasting, title={Forecasting directional movements of stock prices for intraday trading using LSTM and random forests}, author={Ghosh, Pushpendu and […]

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PyTorch

Face Identity Disentanglement via Latent Space Mapping

ID-disentanglement-Pytorch Pytorch implementation of the paper Face Identity Disentanglement via Latent Space Mapping for both training and evaluation, with StyleGAN 2. Changes from original paper instead of using a Discriminator loss for the mapper. We have used several other losses such as: LPIPS Loss (The Unreasonable Effectiveness of Deep Features as a Perceptual Metric, Zhang el al, 2018) MSE Loss Different ID Loss Different landmark detector The reason for those changes resides in the fact that the training procedure with […]

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Wrapper

A python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics

ModernGL ModernGL is a python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics applications like scientific simulations, games or user interfaces. Usually, acquiring in-depth knowledge of OpenGL requires a steep learning curve. In contrast, ModernGL is easy to learn and use, moreover it is capable of rendering with high performance and quality, with less code written. The majority of the moderngl code base is also written in C++ for high performance. pip install moderngl Features GPU […]

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Markdown

A markdown extension for converting Leiden+ epigraphic text to TEI XML/HTML

$ pip install leidenmark A Python Markdown extension for converting Leiden+ epigraphic text to TEI XML/HTML. Inspired by the Brill plain text (BPT) format that aims to incorporate Leiden+ into a Markdown-based syntax. >>> from leidenmark import leiden_plus >>> content = “”” “”” >>> leiden_plus(content, indent=True) The output of the above lines is the following XML snippet: Lorem ipsum dolor sit amet, conc etur adipiscing ut labore et dol ore magna    

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Testing

Virt Test Provider for qemu and other related virtualization backends

QEMU test provider for virt-test This is the official [1] test provider for the following subtest types: QEMU Generic (Virtualization backend agnostic) OpenVSwitch Really quick start guide Fork this repo on github Create a new topic branch for your work Create a new test provider file in your virt test repo, like: cp io-github-autotest-qemu.ini myprovider.ini [provider]uri: file:///home/foo/Code/tp-qemu[generic]subdir: generic/[qemu]subdir: qemu/[openvswitch]subdir: openvswitch/ You can optionally delete temporarily the io-github-autotest-qemu.ini file, just so you don’t have test conflicts. Then you can develop your […]

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FTP

FTP Anonymous Login in python

FTPAnon FTP Anonymous Login Install git clone https://github.com/SiThuTuntimehacker/FTPAnon cd FTPAnon bash install.sh access ftp sever ” ftpaccess.txt “ Usage , ./ftpanon.py (ip or host) #Happy Hacking #Page! #https://www.facebook.com/termux.myanmar.user/ GitHub https://github.com/SiThuTuntimehacker/FTPAnon    

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Bot

A Bot to Track Kernel Upstreams from kernel.org and Post it on Telegram Channel

Channel Kernel Tracker is the channel where the bot will be sending the updates in. This is a Telegram Bot to Track Kernel Upstreams kernel.org and send it to a telegram channel specified. I used BeautifulSoup to scrape the data from the kernel.org website and telegram http api to send the message to the channel. Configuration Get Bot API Key from @BotFather Fill the values in vars_sample.env and rename it into vars.env. And run the bot by running:- python3 -m […]

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Text-to-Image

Text to Image Generation with Semantic-Spatial Aware GAN in python

text2image This repository includes the implementation for Text to Image Generation with Semantic-Spatial Aware GAN This repo is not completely. Network Structure The structure of the spatial-semantic aware convolutional network (SSACN) is shown as below Requirements python 3.6+ pytorch 1.0+ numpy matplotlib opencv Or install full requirements by running: pip install -r requirements.txt TODO [x] instruction to prepare dataset [ ] remove all unnecessary files [x] add link to download our pre-trained model [ ] clean code including comments [ […]

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Wrapper

Unofficial Python API Wrapper of 1337x

1337x This is the unofficial API of 1337x. It supports all proxies of 1337x and almost all functions of 1337x. You can search, get trending, top and popular torrents. Furthermore, you can browse torrents of a certain category. It also supports filtering on result by category, supports sorting and caching. Installation Start guide Quick Examples 1. Searching torrents >>> from py1337x import py1337x # Using 1337x.tw and saving the cache in Desktop which expires after 500 seconds >>> torrents = […]

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