Tagged pytorch

Run PyTorch training across multiple GPUs with minimal code changes

Train large models with PyTorch fully sharded data parallelism

Write clean PyTorch training loops with built-in distributed support

Pretrain large language models at scale with PyTorch 4D parallelism

Build PennyLane quantum circuits, hybrid PyTorch or JAX models and VQE workflows

Organize PyTorch training code into Lightning modules, Trainers and distributed runs

Build graph neural networks for node, link and graph tasks in PyTorch Geometric

Install PyTorch, Unsloth, TRL and vLLM on NVIDIA DGX Spark aarch64

Train quantum circuits with autodiff and PyTorch or JAX across simulators and hardware

Train, evaluate and ship machine learning models with PyTorch and scikit-learn

Scale PyTorch training across GPUs with DDP and multi-GPU patterns

Build dependable PyTorch training loops and review existing training code

Fine-tune and serve OpenPI robot policy models with JAX or PyTorch backends

Speed up transformer attention and cut memory with Flash Attention in PyTorch

Add PyTorch FSDP2 sharding, mixed precision and checkpointing to training scripts

Structure PyTorch training with Lightning Trainer, callbacks and automatic multi-GPU runs

Run causal interventions and activation patching on PyTorch models with pyvene

Build PyTorch-native RL training with torchforge that separates infra from algorithms

Build machine learning models with scikit-learn, PyTorch and TensorFlow

Load PDE simulation datasets from HDF5 into PyTorch DataLoaders with downsampling

Train graph neural networks on node, link and molecular graph tasks with PyG

Convert PyTorch Lightning training code into an NVFLARE federated job

Convert plain PyTorch training code into an NVFLARE federated job

Train, distill and quantize PyTorch image classifiers with many backbones

Organize PyTorch training with LightningModules, Trainers and multi-GPU strategies

Fine-tune DPA3 deep potential models in DeePMD-kit with the PyTorch backend

Build graph neural networks for molecules and proteins in PyTorch

Ship production ML models with PyTorch, serving, feature engineering and monitoring

Set up and troubleshoot the AlphaFold 3 PyTorch remote tool for ToolUniverse

Add distributed and mixed-precision training to PyTorch with Hugging Face Accelerate

Apply proven PyTorch training recipes with optimizers, schedules and mixed precision

Guide Fully Sharded Data Parallel training in PyTorch with mixed precision and offload

Import PyTorch, ONNX and Keras models into MATLAB as dlnetwork objects

Wrap Python vision models from GitHub or pip as MATLAB functions with MPyReq

Find kernel hotspots, fusion gaps and overlap in LLM serving profiler traces

Add layer labels and compact GPU lanes to a Torch Profiler Chrome trace