ycrc / parallel_python

Related projects: ⓘ

• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆77Updated 2 years ago
• cliburn / sta-663-2020
  ☆44Updated 4 years ago
• eth-cscs / SummerSchool2020
  ☆26Updated 3 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆36Updated 3 years ago
• eth-cscs / PythonHPC
  PythonHPC
  ☆109Updated last year
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 8 years ago
• eth-cscs / SummerSchool2019
  CSCS HPC Summer School 2019
  ☆24Updated 5 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆26Updated 3 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆67Updated 3 years ago
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆58Updated 7 months ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆48Updated 3 weeks ago
• chr1shr / am205_g_activities
  Harvard AM205: group activity files
  ☆13Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆61Updated 5 years ago
• aquaULB / solving_pde_mooc
  ☆56Updated 2 weeks ago
• IPAIopen / NumDL-CourseNotes
  Course notes for graduate-level class on numerical methods for deep learning
  ☆49Updated 3 years ago
• rasbt / ecml-teaching-ml-2021
  ☆11Updated 2 years ago
• cliburn / sta-663-2018
  ☆71Updated 5 years ago
• higham / matlab-guide-3ed
  Program files from MATLAB Guide, Third Edition
  ☆29Updated 7 years ago
• mossr / machine_learning_book
  Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook
  ☆49Updated 2 years ago
• informatics-lab / probabilistic-programming
  Notebooks for probabilistic programming
  ☆21Updated 4 years ago
• ronikobrosly / scipy_2023_causal_inference_tutorial
  Materials for a proposed Causal Inference Tutorial session at SciPy 2023
  ☆12Updated last year
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆34Updated 4 years ago
• duke-mlss / Duke-MLWS-2019
  Duke Machine Learning Winter School 2019
  ☆27Updated 5 years ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆109Updated last year
• yoninazarathy / ProgrammingCourse-with-Julia-SimulationAnalysisAndLearningSystems
  Programming of Simulation, Analysis, and Learning Systems Course Materials
  ☆34Updated this week
• wesselb / fdm
  Estimate derivatives with finite differences
  ☆16Updated 3 years ago
• csc-training / intro-to-dl
  Introduction to deep learning
  ☆41Updated last month
• caam37830 / book
  Course Reader based on Jupyter-Book
  ☆30Updated last year
• fasrc / User_Codes
  ☆73Updated this week
• sedimentorc / nature-template
  A template for nature journal submissions
  ☆25Updated last year