Alternatives and similar repositories for paired-comparison-gp-laplace:

Users that are interested in paired-comparison-gp-laplace are comparing it to the libraries listed below

• lucasmaystre / kickscore-kdd19
  Code for reproducing the results of the kickscore paper (KDD 2019).
  ☆10Updated last year
• airalcorn2 / baller2vec
  A multi-entity Transformer for multi-agent spatiotemporal modeling.
  ☆66Updated 3 years ago
• basketballrelativity / basketball_data_science
  Working through Basketball Data Science
  ☆24Updated 4 years ago
• SamDuffield / abile
  State-space model perspective on rating systems (pairwise comparisons).
  ☆16Updated 2 months ago
• idiap / wmil-sgd
  Weighted multiple-instance learning algorithm based on stochastic gradient descent
  ☆11Updated 6 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• andrewsilva9 / ProLoNets
  ☆8Updated 5 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• dsscollection / basketball
  ☆14Updated 7 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• cran / PlayerRatings
   This is a read-only mirror of the CRAN R package repository. PlayerRatings — Dynamic Updating Methods for Player Ratings Estimation
  ☆9Updated 5 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆10Updated 10 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆18Updated 5 years ago
• martineastwood / penalty
  Example code from www.pena.lt/y
  ☆41Updated 5 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• milkha / EPL_KDD
  ☆18Updated 7 years ago
• anastasiachtz / COMMAND_stan
  Contemporary statistical inference for infectious disease models using Stan
  ☆15Updated 6 years ago
• sarahmallepalle / next-gen-scrapy
  ☆29Updated 5 years ago
• LeoEgidi / footBayes
  An R package for many football models
  ☆44Updated last week
• ryurko / fcscrapR
  R package to scrape soccer commentary and statistics from ESPN
  ☆28Updated 2 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• shagunsodhani / ml-logger
  Logging utility for ML experiments
  ☆16Updated 2 years ago
• arthurmensch / online_sinkhorn
  ☆13Updated 4 years ago
• nikikilbertus / general-iv-models
  Bounding causal effects in general (continuous, non-additive) instrumental variable models.
  ☆14Updated last year