rdkap42 / caedus-covid

Related projects ⓘ

Alternatives and complementary repositories for caedus-covid

• johnsanterre / Teaching
  ☆11Updated last year
• davestroud / Algorithm_Fundamentals
  Compilation of algorithms.
  ☆13Updated 4 months ago
• josephsdavid / teachR
  (Hopefully) instructional, reproducible R content
  ☆12Updated 4 years ago
• goldblum / TruthOrBackpropaganda
  An empirical investigation of deep learning theory
  ☆16Updated 5 years ago
• canyon289 / ssm_book_club
  ☆18Updated last year
• beamlab-hsph / journalclub
  Reading great papers in the history of artificial intelligence and machine learning
  ☆10Updated 2 years ago
• robertness / pyro_agents
  Agent models implemented with Pyro
  ☆11Updated last year
• DigitalBiomarkerDiscoveryPipeline / DBDP
  Start here!
  ☆34Updated 2 years ago
• TutteInstitute / thisnotthat
  A visual labeling system implemented in Jupyter widgets.
  ☆146Updated last week
• cbrnr / HeartBeats.jl
  ☆11Updated 2 months ago
• pfizer-opensource / scikit-digital-health
  Python package for the processing and analysis of Inertial Measurement Unit Data
  ☆62Updated this week
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆57Updated this week
• omarfsosa / tech-talk-hierarchical-models
  ☆37Updated 2 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆64Updated last month
• tomer1812 / pydts
  ☆23Updated last month
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆91Updated this week
• avkl / twinning
  Data Twinning
  ☆25Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated last year
• OxWearables / biobankAccelerometerAnalysis
  Extracting meaningful health information from large accelerometer datasets
  ☆190Updated last week
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆51Updated 4 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆19Updated 7 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆56Updated 2 months ago
• fpgdubost / bstrap
  Bootstrap hypothesis testing Python Package. Bootstrapping is a simple method to compute statistics over your custom metrics, using only …
  ☆15Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 5 months ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆47Updated 7 years ago
• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆39Updated 2 months ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 3 years ago
• andiva / DeepLieNet
  tensor Lie transform as polynomial neural network in TensorFlow
  ☆11Updated 5 years ago
• beacon-biosignals / Onda.jl
  A Julia package for high-throughput manipulation of structured signal data across arbitrary domain-specific encodings, file formats and s…
  ☆68Updated this week