PAIR-code / jax-recommenders

Related projects ⓘ

Alternatives and complementary repositories for jax-recommenders

• srush / jax-lda
  ☆30Updated 2 years ago
• harvardnlp / strux
  ☆18Updated 2 years ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated 2 months ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆25Updated 5 years ago
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 4 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆13Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• usaito / kdd2022-tutorial
  ☆12Updated 2 years ago
• apmoore1 / fiesta
  Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
  ☆14Updated 2 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆16Updated 7 years ago
• ThomasMiconi / Meta-Task-Generator
  Automatically generate simple meta-learning tasks from a very large space
  ☆15Updated last year
• locuslab / ase
  Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…
  ☆11Updated 3 years ago
• google-deepmind / enn_acme
  ☆29Updated 2 years ago
• srush / learns-dex
  ☆33Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆76Updated 8 months ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆15Updated 3 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆11Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated last year
• probml / bandits
  Bayesian Bandits
  ☆66Updated last year
• spyysalo / wiki-bert-pipeline
  Generate BERT vocabularies and pretraining examples from Wikipedias
  ☆18Updated 4 years ago
• IamHuijben / gumbel_softmax_sampling
  ☆11Updated 2 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago
• babylonhealth / multiverse
  MultiVerse: Probabilistic Programming Language for Causal Reasoning
  ☆9Updated 2 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• kyunghyuncho / jax-practice
  ☆11Updated 4 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago