AI Agent Skills

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

Graph Neural Networks in Julia

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

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

Message Passing Neural Networks for Molecule Property Prediction

Deep and online learning with spiking neural networks in Python

✨Fast Coreference Resolution in spaCy with Neural Networks

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Learning Convolutional Neural Networks with Interactive Visualization.

Simulation of spiking neural networks (SNNs) using PyTorch.

A flexible framework of neural networks for deep learning

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.