cakeinspace

cakeinspace's Stars

• rlabbe/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.

  Language:Jupyter Notebook17k4633284.2k

• PyO3/maturin

  Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages

  Language:Rust4.1k30657278

• lh3/minimap2

  A versatile pairwise aligner for genomic and spliced nucleotide sequences

  Language:C1.8k861.1k424

• pachterlab/BI-BE-CS-183-2023

  Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

  Language:Jupyter Notebook4609372

• mpi4jax/mpi4jax

  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

  Language:Python454119230

• google/CommonLoopUtils

  CLU lets you write beautiful training loops in JAX.

  Language:Jupyter Notebook32810032

• jacobjinkelly/easy-neural-ode

  Code for the paper "Learning Differential Equations that are Easy to Solve"

  Language:Python27211831

• t7morgen/misato-dataset

  Language:Jupyter Notebook18641117

• Bin-Chen-Lab/Awesome_BigData_AI_DrugDiscovery

  A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

  18112065

• thegenemyers/FASTGA

  Pairwise whole genome aligner

  Language:C1421036

• AllenInstitute/openai_tools

  Growing collection of scripts to summarize the scientific literature using large-language models like ChatGPT.

  Language:HTML1127314

• ProteinDesignLab/protein-design-tutorials

  Tutorials, cheat sheets, and other resources for computational methods for protein design.

  Language:Jupyter Notebook1014024

• uncbiag/robot

  code for Fast Point Cloud Registration with Optimal Transport

  Language:Python9431113

• darrenjw/fp-ssc-course

  An introduction to functional programming for scalable statistical computing

  Language:Scala71305

• gersteinlab/GenAI4Drug

  611005

• choderalab/openmm-tutorials

  Quickstart Python tutorials helping molecular dynamics practitioners get up to speed with OpenMM

  Language:Jupyter Notebook4813118

• flatironinstitute/inferelator

  Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

  Language:Python47102512

• cellatlas/human

  Language:Jupyter Notebook404106

• valence-labs/mtl_summer_school_2024

  Language:Jupyter Notebook384014

• openmm/openmm_workshops

  Language:Jupyter Notebook335139

• duetosymmetry/latex-mpl-fig-tips

  Language:Jupyter Notebook26100

• marctollis/INF515-Comparative-Genomics_fall22

  Materials for the INF 515: Comparative Genomics course at NAU taught by Prof. Marc Tollis

  Language:Visual Basic 6.01330

• obophenotype/provisional_cell_ontology

  Draft cell type definitions from data - candidates for inclusion in CL

  Language:Makefile1210341

• yjcyxky/antibody-dl

  A Collection of Platform, Tools, and Resources for Antibody Engineering

  Language:Python12203

• gmum/mldd24

  The repository for the course "Machine Learning in Drug Design" taught at the Jagiellonian University in 2024. The page is hosted by the machine learning research group GMUM.

  Language:HTML10606

• PLN-team/pyPLNmodels

  Blazing fast inference of PLN models built on top of Python and PyTorch

  Language:Python7331

• BouchardLab/info_measures

  Python implementations of information theoretic measures

  Language:Jupyter Notebook4400

• Munfred/wormcells-data

  Gene expression on C. elegans single cells

  Language:HTML2210

• BouchardLab/ML_4_prec_prognosis

  Language:Jupyter Notebook190

• BouchardLab/variational_bounds_of_mutual_information

  python version of variational bounds of mutual information

  Language:Python1100