ShangtongZhang / rebib
Retrieve information from DBLP and update BibTex files automatically
☆55Updated 2 years ago
Alternatives and similar repositories for rebib
Users that are interested in rebib are comparing it to the libraries listed below
Sorting:
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆49Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆122Updated 11 months ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- ☆20Updated 5 years ago
- P3O paper code☆29Updated 5 years ago
- ☆36Updated 3 years ago
- ☆85Updated 9 months ago
- ☆77Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago
- PyTorch Package For Quasimetric Learning☆42Updated 6 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- ☆11Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆101Updated 4 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago