AI Agent Skills

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Scalable and user friendly neural :brain: forecasting algorithms.

✨Fast Coreference Resolution in spaCy with Neural Networks

Graph Neural Networks in Julia

Training PyTorch models with differential privacy

NeuralProphet: A simple forecasting package

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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.

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

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

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility