AI Agent Skills

A collection of Bayesian data analysis recipes using PyMC3

Bayesian Deep Learning: A Survey

Notebooks about Bayesian methods for machine learning

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…

Graph Neural Networks in Julia

Bayesian inference with probabilistic programming.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; pr…

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Message Passing Neural Networks for Molecule Property Prediction

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Internet-scale Neural Networks

Deep and online learning with spiking neural networks in Python

✨Fast Coreference Resolution in spaCy with Neural Networks