meta-pytorch / torchxLinks
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
☆399Updated this week
Alternatives and similar repositories for torchx
Users that are interested in torchx are comparing it to the libraries listed below
Sorting:
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated last month
- PyTorch RFCs (experimental)☆135Updated 5 months ago
- A library to analyze PyTorch traces.☆421Updated last week
- High performance model preprocessing library on PyTorch☆644Updated last year
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆441Updated 2 weeks ago
- Pipeline Parallelism for PyTorch☆780Updated last year
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆885Updated this week
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆181Updated 2 months ago
- Pytorch Lightning Distributed Accelerators using Ray☆215Updated 2 years ago
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆103Updated this week
- A tensor-aware point-to-point communication primitive for machine learning☆275Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,066Updated last year
- The Triton backend for the PyTorch TorchScript models.☆163Updated last week
- Module, Model, and Tensor Serialization/Deserialization☆272Updated 2 months ago
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆539Updated 2 months ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆213Updated 6 months ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆495Updated this week
- ☆252Updated last year
- Provide Python access to the NVML library for GPU diagnostics☆248Updated 2 months ago
- ☆145Updated this week
- Implementation of a Transformer, but completely in Triton☆276Updated 3 years ago
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆387Updated 4 months ago
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆229Updated last week
- Torch Distributed Experimental☆117Updated last year
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆243Updated last month
- ☆337Updated this week
- Accelerate PyTorch models with ONNX Runtime☆366Updated 8 months ago
- The Triton backend for the ONNX Runtime.☆163Updated this week
- ☆190Updated 2 weeks ago