★ 0 · Updated 2026-06-30
Run autonomous ML experiments that modify training code, train models, evaluate results, and iterate
Browse skills that produce this output.
★ 0 · Updated 2026-06-30
Run autonomous ML experiments that modify training code, train models, evaluate results, and iterate
★ 602 · Updated 2026-06-30
Comprehensive documentation assistance for scvi-tools deep learning single-cell analysis toolkit
★ 602 · Updated 2026-06-15
Build and train neural networks with dynamic computation graphs and GPU acceleration
★ 3 · Updated 2026-05-28
High-level PyTorch framework with automatic distributed training and minimal boilerplate
★ 2 · Updated 2026-05-28
High-level PyTorch framework for distributed training with automatic DDP/FSDP/DeepSpeed support
★ 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
★ 1,182 · Updated 2026-05-28
Design and manage Numerai experiments for model ideas
★ 18 · Updated 2026-03-24
Design and orchestrate ML pipelines with GPU steps and artifact tracking
★ 2 · Updated 2026-03-10
Provides guidance for scaling ML training across multiple GPUs and nodes with parallelism strategies