Hi-C spectral decomposition workflow

Spectral decomposition for characterizing long-range interaction profiles in Hi-C maps. Snakemake workflow for the unsupervised method presented in Spracklin, Abdennur et al., 2021. Steps Place supplementary bigwig file information in config/track_metadata.tsv to include in graphical outputs. Must be tab-delimited, including header. Must have columns: Name: a display name ID: a unique identifier to use in the database (can be the same as Name) FileFormat: must be the string bigWig Path: a local path to the file Edit config.yaml. Run: # […]

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Repository for tutorials, examples and starter scripts for using the MTU HPC cluster

Repository for tutorials, examples and starter scripts for using the MTU HPC cluster Connecting to the MTU HPC cluster Within the college, access to the cluster is via SSH to the host: On Windows the simplest way to get an SSH client is to use PuTTy. This is available on all lab PCs. Linux machines usually have an SSH client on the terminal. An account on the MTU HPC cluster is usually requested for you by your lecturer or supervisor. […]

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A telegram video stream bot repo

Features stream videos download videos & mp3 Inline Search support YouTube direct search support YouTube/Local/Live/m3u8 stream support Inline Search support Control With Button support Volume Control Userbot Auto Join Broadcast & Global Ban Shell Executor (eval & sh) SpeedTest Runner Direct Updater Deploy On Heroku . VPS Deployment 📡 Get the best Quality of streaming performance by hosting it on VPS, here’s the step’s:

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Youtube list to mp3 downloader

Tiny script to convert a list of youtube videos to mp3. The list should be stored in a file named url_list.txt. Requirements Run Locally Clone the project git clone https://github.com/nushen96/youtube_list_to_mp3.git Go to the project directory Install dependencies pip install -r requirements.txt Run the script Outcome The download mp3 files will be saved in the videos folder. Authors GitHub View Github    

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Synthesia but open source, made in python and free

Synthesia but open source, made in python and free Requirements are in requirements.txt, You NEED python 3.10 or higher If you struggle with installation of pyaudio, run : pip install pipwin pipwin install pyaudio (run main.pyw to launch PyPiano, change extention to .py to see the debug console) Commands : Left click : click and drag to create a tile on a note click on side of a tile to edit the length of this tile click and drag the […]

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Email sending for Flask

Flask extension for Red Mail What is it? Flask Red Mail is a Flask extension for Red Mail.Red Mail is a powerful email sender library capable of includingattachments from various formats, embedding images, parametrizationwith Jinja etc. This library harness the power of Red Mail in order tomake it trivial to: Send verification emails to users Create email based forgot password functionality Create Flask based email news letters Handle other needs for sending emails from a web application Links: Installation Install […]

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A sample project needed for a security course to connect web service to database

This is a sample project needed for a security course to “connect web service to database”. Why this project suits alignment purpose It connects to the PostgreSQL database with basic authentication.On this web server, you can make a gateway with Nginx It would be better if you do it in thedocker network without so web app would not have internet access, and it would be a true gateway.But easier is to send requests to localhost:8000 from Nginx. How to start […]

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VRT: A Video Restoration Transformer

Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool Computer Vision Lab, ETH Zurich & Meta Inc. arxiv|supplementary|pretrained models|visual results This repository is the official PyTorch implementation of “VRT: A Video Restoration Transformer”(arxiv, supp, pretrained models, visual results). VRT ahcieves state-of-the-art performance (up to 2.16dB) in video SR (REDS, Vimeo90K, Vid4 and UDM10) video deblurring (GoPro, DVD and REDS) video denoising (DAVIS and Set8)

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Discovering Invariant Rationales for Graph Neural Networks

“Discovering Invariant Rationales for Graph Neural Networks” (ICLR 2022) aims to train intrinsic interpretable Graph Neural Networks that are generalizable to out-of-distribution datasets. The core of this work lies in the construction of environments, i.e., interventional distributions, and thus discovering the causal features for rationalization. Installation Main packages: PyTorch >= 1.5.0, Pytorch Geometric >= 1.7.0, OGB >= 1.3.0. See requirements.txt for other packages. Data download Spurious-Motif: this dataset can be generated via spmotif_gen/spmotif.ipynb. Graph-SST2: this dataset can be downloaded here. […]

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