Alternatives and similar repositories for imperial_latex_templates:

Users that are interested in imperial_latex_templates are comparing it to the libraries listed below

• sherrylixuecheng / AI_for_Science_paper_collection
  List the AI for Science papers accepted by top conferences
  ☆106Updated 6 months ago
• ImperialCollegeLondon / RCDS-intro-to-containers
  ☆27Updated 2 months ago
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆122Updated last week
• iaifi / summer-school-2024
  ☆22Updated 7 months ago
• llsc-supercloud / teaching-examples
  Examples for use in teaching HPSC workflows, from how to successfully parallelize code, to how to submit that code on an HPC system.
  ☆36Updated 3 months ago
• Machine-learning-and-complex-systems / DPT
  ☆14Updated 5 months ago
• ImperialCollegeLondon / RCDS-profiling-and-optimisation-in-python
  ☆32Updated 4 months ago
• sandialabs / pyttb
  Python Tensor Toolbox
  ☆31Updated last week
• by256 / rdfpy
  A Python module for fast computation of 2D and 3D radial distribution functions (RDFs).
  ☆28Updated last year
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆72Updated 2 months ago
• ENCCS / gnn-transformers
  Workshop lesson material for the GNN and Transformers workshop
  ☆16Updated last year
• florpi / summer_school_generative
  ☆13Updated last year
• ImperialCollegeLondon / RCDS-Deep-Learning-CNN
  ☆14Updated 3 months ago
• opt-gaobin / spopt
  Riemannian optimization on the symplectic Stiefel manifold
  ☆13Updated 2 years ago
• zavalab / Tutorials
  ☆25Updated 2 months ago
• sathya-chitturi / multibax-sklearn
  Design space subset estimation using Bayesian algorithm execution with sklearn GP models
  ☆22Updated 4 months ago
• iaifi / summer-school-2023
  ☆21Updated last year
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated last year
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆69Updated 5 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆72Updated 3 months ago
• williamratcliff / GNN-tutorial-APS-March-2023
  These are the slides associated with the GNN tutorial at the APS March Meeting
  ☆21Updated 2 years ago
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆61Updated last month
• y-z-zhang / SBD
  A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix…
  ☆16Updated 3 years ago
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆50Updated last year
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆51Updated last month
• jxhe / bib-journal-abbreviation
  This is a lightweight python script to abbreviate the journal names in your latex bib file.
  ☆43Updated 11 months ago
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆54Updated 3 months ago
• GageDeZoort / prc_gnn_tutorial
  ☆13Updated 2 months ago
• pele-python / pele
  Python energy landscape explorer
  ☆98Updated 5 years ago
• SMTMSbyMET / smtms
  This is a collection of answers to a SM book Statistical Mechanics Theory and Molecular simulation written by Mark E. Tuckerman. Lecture…
  ☆33Updated 8 years ago