AI Agent Skills

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…

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

Message Passing Neural Networks for Molecule Property Prediction

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…

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

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Simulation of spiking neural networks (SNNs) using PyTorch.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

❤️ Fredy - [F]ind [R]eal [E]state [D]amn Eas[y] - Fredy keeps searching for new apartments, houses, and flats in Germany on platforms like ImmoScout24, Immowelt, Immonet…