Alternatives and similar repositories for lapjv:

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

• gatagat / lap
  Linear Assignment Problem solver (LAPJV/LAPMOD).
  ☆232Updated last month
• cheind / py-lapsolver
  Fast linear assignment problem (LAP) solvers for Python based on c-extensions
  ☆159Updated 4 months ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆183Updated 6 years ago
• berhane / LAP-solvers
  Benchmarking Linear Assignment Problem Solvers
  ☆87Updated 4 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 5 years ago
• droyed / eucl_dist
  Euclidean Distance Computation in Python for 4x-100x+ speedups over SciPy and scikit-learn. Also leverages GPU for better performance on…
  ☆58Updated 7 years ago
• bmc / munkres
  Munkres algorithm for Python
  ☆229Updated 8 months ago
• velikodniy / tbparser
  Tensorboard parser
  ☆22Updated 4 months ago
• automl / fanova
  Functional ANOVA
  ☆122Updated last week
• src-d / minhashcuda
  Weighted MinHash implementation on CUDA (multi-gpu).
  ☆117Updated last year
• facebookresearch / spreadingvectors
  Open source implementation of "Spreading Vectors for Similarity Search"
  ☆319Updated 3 years ago
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆265Updated 4 years ago
• idiap / eakmeans
  Implementation of fast exact k-means algorithms
  ☆46Updated 5 years ago
• vioshyvo / mrpt
  Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
  ☆259Updated last month
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• bamos / setGPU
  Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
  ☆106Updated 2 years ago
• cheind / tf-matplotlib
  Seamlessly integrate matplotlib figures as tensorflow summaries.
  ☆119Updated 6 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆503Updated 7 months ago
• georgedimitriadis / t_sne_bhcuda
  An extension of the barnes-hut t-sne by Laurens van der Maaten using cuda
  ☆26Updated 6 years ago
• vicolab / ml-pyxis
  Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datase…
  ☆117Updated 4 years ago
• matsui528 / rii
  Fast and memory-efficient ANN with a subset-search functionality
  ☆154Updated last year
• explosion / cython-blis
  💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
  ☆225Updated 2 months ago
• bkj / auction-lap
  Auction algorithm for solving linear assignment problem (LAP)
  ☆70Updated 2 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 6 years ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆115Updated 5 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• NVlabs / tensorcom
  ☆109Updated 3 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆294Updated 9 years ago