AI Agent Skills

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

Scalable and user friendly neural :brain: forecasting algorithms.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Keras Temporal Convolutional Network. Supports Python and R.

Instant neural graphics primitives: lightning fast NeRF and more

TensorFlow-based neural network library

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

JAX-based neural network library

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Message Passing Neural Networks for Molecule Property Prediction

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep and online learning with spiking neural networks in Python

Nmap - the Network Mapper. Github mirror of official SVN repository.

A scikit-learn compatible neural network library that wraps PyTorch

Simulation of spiking neural networks (SNNs) using PyTorch.