sharmavaruns
Computational Systems Biologist (MSc ETH Zurich) now pursuing a Ph.D. at CeMM [Bock and Menche labs]. Working at the interface of AI and network medicine.
CeMMVienna, Austria
sharmavaruns's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
theislab/single-cell-tutorial
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"
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
alec-tschantz/rl-inference
Reinforcement Learning through Active Inference
Genentech/sVAE
ActiveInferenceInstitute/ActiveBlockference
agosztolai/MARBLE
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
epigen/dea_limma
A Snakemake workflow and MrBiomics module for performing and visualizing differential (expression) analyses (DEA) on NGS data powered by the R package limma.
epigen/mr.pareto
MR.PARETO - Modules & Recipes for Pragmatic Augmentation of Research Efficiency Towards Optimum
takuyaisomura/reverse_engineering
Reverse engineering neural networks
larslorch/stadion
Causal Modeling with Stationary Diffusions, AISTATS 2024
sharmavaruns/PCfun
Fast and accurate tool for the functional annotation of protein complex queries built upon hybrid unsupervised and supervised machine learning on PubMed Central full-text word embeddings.
MiqG/EMA-Data-Scratching-with-RSelenium
Data Scratching from the European Medicines Agency (EMA)