Loading repository data…
paoloM1990 / repository
This repository contains my favourite examples of Image Denoising for microscopy/biology images by using Python and in particular Jupyter notebook. Full credit goes to Dr. Sreenivas Bhattiprolu, who created this examples in the first place; you can find his .py files at https://github.com/bnsreenu/python_for_microscopists. This repository is just a selection of my favourite denoising algorithms illustrated by Dr. Bhattiprolu. I provide Jupyter notebook files, original images to upload and PDF previews so that any person can have fun using these algorithms. Installation guidelines of Jupyter notebook (via Anaconda installation) are also provided.
This repository contains my favourite examples of Image Denoising for microscopy/biology images by using Python and in particular Jupyter notebook.
Full credit goes to Dr. Sreenivas Bhattiprolu, who created these examples in the first place. You can find his .py files at https://github.com/bnsreenu/python_for_microscopists.
This repository is just a selection of my favourite denoising algorithms illustrated by Dr. Bhattiprolu. I provide the following items in this folder:
Any person can have fun using these algorithms, even without any previous basic knowledge in Python.
For any beginners in the audience, I would suggest to watch some video tutorials by Dr. Bhattiprolu. These are designed to train absolute beginners on Python coding with a special emphasis on image analysis. The link to these video tutorials is the following: https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
Installation guidelines of Jupyter notebook:
For new users, I highly recommend installing Anaconda. Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
Use the following installation steps clearly described at this link: https://docs.jupyter.org/en/latest/install/notebook-classic.html
Selected from shared topics, language and repository description—not editorial ratings.
milaan9 /
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
janblechschmidt /
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
integrativebioinformatics /
This repository contains scNotebooks, a collection of interactive Jupyter and Google Colab notebooks designed to teach and practice single‑cell and spatial transcriptomics. The notebooks guide learners through the complete workflow from introductory steps and single‑cell pipelines to diverse analytical approaches, and FAIR and sharing data
dipanjanS /
This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-world Retrieval Augmented Generation Systems, focusing on the key challenges and practical solutions of how to solve them
laxmimerit /
This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.
StephanRhode /
This repository contains jupyter notebooks and python code for KIT course: Python Algorithms for Automotive Engineering