gclouduniverse / reproducibility-deprecatedLinks
☆16Updated 6 months ago
Alternatives and similar repositories for reproducibility-deprecated
Users that are interested in reproducibility-deprecated are comparing it to the libraries listed below
Sorting:
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆379Updated 3 months ago
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆88Updated last week
- ☆146Updated 2 weeks ago
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆143Updated last week
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆65Updated 3 months ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆538Updated last month
- ☆46Updated this week
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆73Updated 3 weeks ago
- ☆14Updated 4 months ago
- ☆538Updated last year
- ☆23Updated last week
- JAX-Toolbox☆343Updated this week
- ☆264Updated this week
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆392Updated this week
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆414Updated last week
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆226Updated this week
- ☆189Updated last week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated 2 weeks ago
- Orbax provides common checkpointing and persistence utilities for JAX users☆428Updated last week
- Minimal yet performant LLM examples in pure JAX☆181Updated 2 weeks ago
- torchprime is a reference model implementation for PyTorch on TPU.☆39Updated last week
- jax-triton contains integrations between JAX and OpenAI Triton☆426Updated last month
- ☆331Updated 3 weeks ago
- PyTorch Single Controller☆425Updated this week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆143Updated last year
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆51Updated this week
- ☆13Updated 7 months ago
- ☆173Updated last year
- Library for reading and processing ML training data.☆553Updated this week
- a Jax quantization library☆46Updated this week