Practical course about Large Language Models.

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Awesome-LLM: a curated list of Large Language Model

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A dashboard for your obsidian vault.

Project implementation on the Practical Seminar ML SS21 UdS.

Coding coding coding

Seven's study notes and projects on ALL About Biological Data Analysis

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

📓Solutions to Introduction to Algorithms

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

Project implementation on Computational Epigenetics UdS SS21

Project implementation from UdS SCB WS21-22.

Deep functional residue identification

My solution to the book <A collection of Data Science Take-home Challenges>

Code for the manuscript "Optimized data set and feature construction for substrate prediction of membrane transporters"

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Library of common Python code used across various projects

This repository contains implementations and illustrative code to accompany DeepMind publications

Educational material for big data engineering courses

Implementation of Statistics and Data Analysis in R