khurramjaved96 / online-causal-models
Accompanying code for the paper "Learning Causal Models Online"
☆23Updated 4 years ago
Alternatives and similar repositories for online-causal-models:
Users that are interested in online-causal-models are comparing it to the libraries listed below
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆24Updated 10 months ago
- code to reproduce the empirical results in the research paper☆35Updated 3 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- ☆29Updated 3 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- [ICLR 2021] Beyond Categorical Label Representations for Image Classification☆25Updated 3 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Updated 5 years ago
- Reward Learning by Simulating the Past☆44Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- ☆26Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 5 years ago