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Examples of how to create colorful, annotated equations in Latex using Tikz.
An I/O benchmark for deep Learning applications
[Medical_NLP ➟ Awesome-AI4Med] medical-related LLMs, Multimodal systems, Datasets, Benchmarks, and more.
Repo containing all the lecture material for the dl4nlp course
🔍 Discover the Best in Custom GPT at OpenAI's GPT Store – Your Adventure Begins Here!
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Unofficial set of LaTeX classes, styles, and knick-knacks aimed at use within the University of St Andrews.
Framework to generate observational and interventional samples from structural equation models (SEMs)
Tools for plotting methylation data in various ways
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A list of Latex packages used to standardize good practices in the Northern Robotics Lab
R package for fitting high-dimensional multivariate linear mixed effect models
Custom simulation framework in Python for Event-Driven simulation of epidemics on networks. What makes this framework unique is its functionality for introducing interventions in the middle of epid…
ATLAS - Three commands to start analyzing your metagenome data
This template should get you started with writing a thesis and avoiding the most common errors
A cookiecutter template for a beamer presentation
All materials for the Networks practical of the 2019 Statistics for Omics course
Papers from the computer science community to read and discuss.
A faster lmm for GWAS. GPU support coming soon.
Deep universal probabilistic programming with Python and PyTorch
a repo for reading lists related to research in the Stephens lab
Reads the output from CLI help commands, and generates machine readable schemas (CWL etc)
Simulations for Steinsaltz, Dahl and Wachter 2018 EJS
Causal.jl - A modeling and simulation framework adopting causal modeling approach.
Demonstrating best practices for bioinformatics command line tools
Python package for the creation, manipulation, and learning of Causal DAGs