Alternatives and similar repositories for ml-ditp-attp

Users that are interested in ml-ditp-attp are comparing it to the libraries listed below

• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆69Updated 5 years ago
• ernestyalumni / mathphysics
  Various notes and solutions on Math and Physics (and Mathematical Physics)
  ☆73Updated last year
• OpenQuantumComputing / optimization
  Algorithms for optimization tasks (operations research)
  ☆16Updated last year
• drckf / mlreview_notebooks
  Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
  ☆199Updated 4 years ago
• matthewfeickert / Statistics-Notes
  Personal notes on statistics with a focus on applications to experimental high energy physics
  ☆27Updated last year
• FlorianMarquardt / advanced_machine_learning
  Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"
  ☆54Updated 9 months ago
• avstjohn / qft
  Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.
  ☆116Updated 3 years ago
• sphinxteam / DukeLecture2018
  Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
  ☆16Updated 5 years ago
• QTrkX / qtrkx-gnn-tracking
  ☆12Updated 3 years ago
• ruehlef / Physics-Reports
  Material associated with Physics Report "Data science applications to string theory"
  ☆11Updated 2 years ago
• sraeisi / Machine_Learning_Physics_Winter20
  This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…
  ☆18Updated 3 months ago
• PerimeterInstitute / Computational-Physics-Course-Winter-2020
  ☆25Updated 5 years ago
• particle-physics-playground / playground
  A collection of simplified learning exercises that use real particle physics data. Primarily organized around the IPython notebook.
  ☆25Updated 3 years ago
• dkirkby / MachineLearningStatistics
  Machine learning and statistics for physicists
  ☆97Updated 4 years ago
• cnktysz / HepTrkX-quantum
  Particle Track Reconstruction with Quantum Algorithms
  ☆15Updated 3 years ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 3 weeks ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆41Updated 6 years ago
• FNALLPC / machine-learning-das
  Machine Learning DAS Short Exercise with CMS Open Data
  ☆11Updated 4 months ago
• sreahw / schuller-quantum
  Source code for lecture notes
  ☆68Updated 7 years ago
• heidelberg-hepml / lorentz-gatr
  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)
  ☆26Updated 2 weeks ago
• ml4physicalsciences / ml4physicalsciences.github.io
  Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference
  ☆20Updated 5 months ago
• DeepLearningForPhysicsResearchBook / deep-learning-physics
  This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …
  ☆64Updated 10 months ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated last year
• iris-hep / awesome-hep
  A curated list of awesome high energy and particle physics software.
  ☆56Updated 3 years ago
• sympy / quantum_notebooks
  Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.
  ☆64Updated 3 years ago
• cduck / feynman_path
  Visualization tool for the Feynman Path Integral applied to quantum circuits
  ☆53Updated 2 years ago
• keeganstoner / nn-qft
  Code used for experiments in https://arxiv.org/abs/2008.08601
  ☆19Updated 4 years ago
• mastwood / advancedquantum
  My notes from Advanced Quantum Theory (taught by Tobias Osborne). This course covers the mathematical formalism and physics of many-parti…
  ☆42Updated 3 years ago
• amcdawes / QMlabs
  Ipython notebooks for our QM class based on Mark Beck's book "Quantum Mechanics: Theory and Experiment"
  ☆38Updated 3 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year