Python-centric Cookiecutter for Molecular Computational Chemistry Packages
-
Updated
Sep 3, 2024 - Python
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
Tool for encapsulating, running, and reproducing data science projects
Single source of truth with requirements for pip and conda
FPGA tool performance profiling
ROIPooling for pytorch
Deprecated see https://github.com/MHH-RCUG/nf_wochenende : A whole Genome/Metagenome Sequencing Alignment Pipeline in Python3
Flexible omics pipeline
A Travel Itinerary generator customised to the user's vacation type, budget and other details. The Itinerary suggests possible places the user would like to visit tailored to the available timings. This project considers only Jaipur, India as the destination city at the moment.
Twingo is a simple nidaqmx / pyAudio based, 2 channel speaker measurement application supporting continuous and finite test signals generation, acquisition and analysis.
A tiny parser for more flexible conda environment files
LoopPredictor: Predicting unknown enhancer-mediated genome topology by an ensemble machine learning model
Project Repo for GSoC 2019 at CERN
Scripts that add functionality to conda. The first one is a script that adds more functionality to the default `conda env export` function.
This repo provides an interactive GUI for BALTO within a Jupyter notebook. It uses ipywidgets (for the GUI), ipyleaflet (for interactive maps), pydap (for OpenDAP support), matplotlib and cartopy.
The DKFZ alignment workflow plugin originally developed at the eilslabs
CLI Tool to init new reproducible project with the help of conda and github
YOLOv8 ile Nesne Tespiti ve Görüntü İşleme Eğitimi (Custom Object Detection and Image Processing Training with YOLO-v8)
Pipelines dealing with high throughput sequencing data for microbiology diagnostic procedures. Documentation available at http://metagenlabdiag-pipelines.readthedocs.io/en/latest/ and Docker images at https://hub.docker.com/r/metagenlab/diag_pipelines/.
Add a description, image, and links to the conda-environment topic page so that developers can more easily learn about it.
To associate your repository with the conda-environment topic, visit your repo's landing page and select "manage topics."