cakeinspace's starred repositories
provisional_cell_ontology
Draft cell type definitions from data - candidates for inclusion in CL
pyPLNmodels
Blazing fast inference of PLN models built on top of Python and PyTorch
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
info_measures
Python implementations of information theoretic measures
variational_bounds_of_mutual_information
python version of variational bounds of mutual information
openmm-tutorials
Quickstart Python tutorials helping molecular dynamics practitioners get up to speed with OpenMM
INF515-Comparative-Genomics_fall22
Materials for the INF 515: Comparative Genomics course at NAU taught by Prof. Marc Tollis
openai_tools
Growing collection of scripts to summarize the scientific literature using large-language models like ChatGPT.
wormcells-data
Gene expression on C. elegans single cells
CommonLoopUtils
CLU lets you write beautiful training loops in JAX.
easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
fp-ssc-course
An introduction to functional programming for scalable statistical computing
inferelator
Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
deep-probprog-course
Deep Probabilistic Programming Course @ DIKU
StatisticalInference
Lecture Notes on Statistical Inference
Bacterial_Genetics_Course_Packet
Course packets for Bacterial Genetics and Physiology. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
generative-models
Repository for self-teaching of Generative Models and its applications.