mila-iqia / covid_p2p_risk_predictionLinks
COVID19 P2P Risk Prediction Model & Dataset
☆22Updated 4 years ago
Alternatives and similar repositories for covid_p2p_risk_prediction
Users that are interested in covid_p2p_risk_prediction are comparing it to the libraries listed below
Sorting:
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated 10 months ago
- ☆24Updated 4 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆46Updated last month
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- ☆28Updated 6 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆45Updated 3 years ago
- Dynamical Components Analysis☆32Updated last year
- Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf☆32Updated 5 years ago
- ☆32Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models…☆19Updated last year
- Simulator for COVID-19 spread☆6Updated 3 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- ☆122Updated 2 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆35Updated 3 months ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- ☆53Updated 10 months ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- ☆47Updated 2 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 4 years ago
- Zero-shot Invariant and Efficient Visual Search☆32Updated 6 months ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 11 months ago