★ 4 · Updated 2026-06-30
Hardware acceleration strategies for ML workloads on GPUs, TPUs, and edge devices
Browse skills that use this input.
★ 4 · Updated 2026-06-30
Hardware acceleration strategies for ML workloads on GPUs, TPUs, and edge devices
★ 64 · Updated 2026-06-30
Pipeline for embedding skills into local models via LoRA fine-tuning on Apple Silicon
★ 84 · Updated 2026-06-15
MLOps practices for model versioning, tracking, deployment, monitoring, and retraining workflows
★ 650 · Updated 2026-06-15
Build and train neural networks with dynamic computation graphs and GPU acceleration
★ 0 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and minimal boilerplate
★ 1 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and callbacks
★ 20,232 · Updated 2026-05-11
Run AI models to generate images, videos, audio, and perform ML inference via Replicate API
★ 60 · Updated 2026-03-22
Detect and mitigate systematic prejudice in AI model predictions across protected attributes like race, gender, and age
★ 18 · Updated 2026-03-20
Complete machine learning environment for model training, GPU acceleration, and data science workflows
★ 9 · Updated 2026-02-18
Provide machine learning model guidance including architecture review, training pipeline design, feature engineering, and deployment.