AI Agent Skills

Sandbox for training deep learning networks

Python bindings for H3, a hierarchical hexagonal geospatial indexing system

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context contr…

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Deep learning in Rust, with shape checked tensors and neural networks

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastT…

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-patt…

This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention me…

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encoura…

COBRApy is a package for constraint-based modeling of metabolic networks.