mathLab / GRAPE

Related projects ⓘ

Alternatives and complementary repositories for GRAPE

• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆46Updated 6 months ago
• lanl / pyHarmonySearch
  pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.
  ☆81Updated 2 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆13Updated last year
• ronojoy / pybisp
  This aims to be a collection of tools for performing Bayesian parameter estimation and model selection on stochastic processes. The immed…
  ☆11Updated 3 years ago
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆57Updated 3 years ago
• vivekmahato / mlots
  mlots is python package that provides Machine Learning tools for Time-Series Classification.
  ☆11Updated 2 years ago
• jchacks / data_cache
  Simple in memory data cache designed for ML applications. Built using Redis and Apache Arrow's Plasma in-memory store
  ☆10Updated 4 years ago
• carefree0910 / carefree-data
  A data processing module implemented with numpy
  ☆10Updated 2 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 5 years ago
• sbalnojan / biggraph-examples
  Examples using PyTorch-BigGraph
  ☆17Updated 5 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• CAChemE / stochastic-optimization
  A set of examples to optimize process simulators with Python (PSO) - PyConES 2016
  ☆27Updated 7 years ago
• YR234 / TL-for-TSC
  ☆13Updated last year
• anyoptimization / pysamoo
  ☆42Updated 11 months ago
• guillermo-navas-palencia / ropwr
  Robust piecewise regression
  ☆12Updated 2 weeks ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆23Updated last year
• DSSC-projects / veni
  A simple Python package for deep learning using forward automatic differentiation based on JAX.
  ☆14Updated 2 years ago
• src-d / seriate
  Optimal ordering of elements in a set given their distance matrix.
  ☆16Updated last year
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• LLNL / merlin
  Machine Learning for HPC Workflows
  ☆123Updated 2 weeks ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆25Updated 4 years ago
• APMonitor / apopt
  APOPT Solver
  ☆25Updated 2 years ago
• ITMO-NSS-team / fedot_electro_ts_case
  The sources of the time-series forecasting real-world case with FEDOT.
  ☆19Updated last year
• gptune / GPTune
  ☆65Updated this week
• erdogant / caerus
  Detection of favorable moments in time series data
  ☆27Updated 5 months ago
• eliavw / mercs
  Multi-directional Ensembles of Regression and Classification treeS.
  ☆13Updated 2 years ago
• MastenSpace / pysur
  Engineering surrogate modeling and optimization toolkit.
  ☆13Updated 7 years ago
• jeffrey-hokanson / PSDR
  Parameter space dimension reduction toolbox
  ☆12Updated last year
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• nasa / UQPCE
  Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, …
  ☆30Updated 2 years ago