Packs
3 packs@dotnet
Dotnet Upgrade
Skills for migrating and upgrading .NET projects across framework versions, language features, and compatibility targets.
6 skills · pack
curated
Full-Stack Backend Platforms
For developers building backends with Convex, Firebase, or Django, covering schema design, real-time features, and deployment.
10 skills · pack
curated
Prioritize Features from Backlog
Install this pack to rank a backlog of feature ideas and identify the top 5 to pursue.
4 skills · pack
Results for “features”
6 skills
drnabeelkhan ai-engineer
Implements machine learning models, embeddings, and AI-powered features with ethical considerations, including model selection, integration, and monitoring.
2
orchestra-research sparse-autoencoder-training
Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.
10.4k · bundle
nvidia tao-train-dino
Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.
2.2k · bundle
More results
mukul975 detecting-deepfake-audio-in-vishing-attacks
Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features and classifying samples with machine learning models.
24.6k · bundle
lord1egypt sparse-autoencoder-training
Trains and analyzes Sparse Autoencoders (SAEs) with SAELens to decompose neural network activations into interpretable features, covering loading pre-trained SAEs, training custom ones, and feature steering.
2
dotnet technology-selection
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.
4k