Alternatives and similar repositories for Task-scheduler-problem

Users that are interested in Task-scheduler-problem are comparing it to the libraries listed below

• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated 2 months ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• TysonRayJones / PythonTools
  Tools I've written in Python which are useful/necessary for my research
  ☆10Updated 7 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 3 years ago
• elsander / GoodEnoughAlgs
  Simple working examples of heuristic optimization algorithms
  ☆16Updated 8 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• leosartaj / euroscipy-sympy-tutorial
  Materials for EuroSciPy 2017 SymPy tutorial
  ☆21Updated 6 years ago
• lantunes / netomaton
  Automata on arbitrary networks, with Python
  ☆62Updated 2 years ago
• abursuc / dldiy-practicals
  Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
  ☆21Updated 4 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆38Updated 5 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆21Updated 7 years ago
• merylldindin / Challenger
  Optimization toolkit
  ☆17Updated 2 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 6 years ago
• tonysy / awesome-graph-networks
  Materials for Graph Models and Graph Networks
  ☆11Updated 7 years ago
• sympy / quantum_notebooks
  Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.
  ☆65Updated 3 years ago
• tailhq / PlasmaML
  Machine Learning tools for Space Weather and Plasma Physics
  ☆17Updated 2 years ago
• ibm-research-tokyo / dybm
  Dynamic Boltzmann Machines
  ☆136Updated last year
• Apress / numerical-python
  Source code for 'Numerical Python' by Robert Johansson
  ☆63Updated 8 years ago
• tobiasosborne / Tensor-networks-and-quantum-field-theory
  This is an open science project aimed at representing the path integral in quantum field theory via a tensor network state.
  ☆20Updated 11 years ago
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated 2 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• adipandas / SmallWorldNetCA
  Small world networks in Cellular Automata
  ☆18Updated 4 years ago
• rigetti / gym-forest
  Reinforcement learning environment for the classical synthesis of quantum programs.
  ☆28Updated 2 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• yngtdd / hyperspace
  Distributed Bayesian Optimization
  ☆23Updated 5 years ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆46Updated 7 years ago
• markjay4k / fourier-transform
  A jupyter notebook with some stuff on the FT
  ☆98Updated 7 years ago