Alternatives and similar repositories for blade_chest:

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

• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 2 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 6 years ago
• lucasmaystre / kickscore-kdd19
  Code for reproducing the results of the kickscore paper (KDD 2019).
  ☆10Updated last year
• StatsDLMathsRecomSys / Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
  ☆22Updated 4 years ago
• Sea-Snell / CALM-Dialogue
  Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"
  ☆34Updated 2 years ago
• kantneel / causal-metarl
  WIP implementation of https://arxiv.org/pdf/1901.08162.pdf
  ☆9Updated 4 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• martiningram / paired-comparison-gp-laplace
  Paired comparison model using Gaussian Process prior
  ☆13Updated 6 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆23Updated 5 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• ZeroWeight / NeuralTS
  ☆15Updated last year
• robert-lieck / RBN
  Recursive Bayesian Networks
  ☆11Updated 3 months ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆49Updated 5 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆99Updated 4 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆11Updated 4 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆42Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 7 months ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆42Updated 2 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• ludovikcoba / recoxplainer
  ☆26Updated 3 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆34Updated last year
• arunvenk / DaD
  Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …
  ☆32Updated 8 years ago