google / jax-recommendersLinks
☆11Updated 2 years ago
Alternatives and similar repositories for jax-recommenders
Users that are interested in jax-recommenders are comparing it to the libraries listed below
Sorting:
- ☆30Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- ☆18Updated 3 years ago
- ☆45Updated 5 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Distributed Bayesian Optimization☆23Updated 5 years ago
- Python implementation of projection losses.☆27Updated 5 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Code repo for "Transformer on a Diet" paper☆31Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch☆36Updated 4 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- ☆12Updated 3 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- ☆41Updated 4 years ago
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- Standalone pre-training recipe with JAX+Flax☆32Updated 2 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Updated 3 years ago
- ☆32Updated 3 years ago