AI Agent Skills

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anoma…

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

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Скилл для Claude. Убирает 54 признака нейросети в русском тексте: канцелярит, кальки, фингерпринты ChatGPT и Claude. Метит в то, что меряют GPTZero, DivEye, RuBERT: подн…

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when disco…

☁️ Securely connect anything with WireGuard® and manage all your networks from a single place.

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.

Unified biological database evidence owner. Use for gene annotation, variant clinical significance, cancer mutation evidence, GWAS trait associations, pathway mapping, t…

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

A script for credentials-based attack surface enumeration and general reconnaissance of massive networks

AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and lat…