Alternatives and similar repositories for cloud-accelerator-diagnostics

Users that are interested in cloud-accelerator-diagnostics are comparing it to the libraries listed below

• google / saxml
  ☆142Updated last week
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆515Updated last week
• google / aqt
  ☆322Updated 3 weeks ago
• google / praxis
  ☆187Updated last week
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆407Updated last month
• ayaka14732 / jax-smi
  JAX Synergistic Memory Inspector
  ☆176Updated last year
• jax-ml / jax-llm-examples
  ☆136Updated last week
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆66Updated 3 months ago
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆214Updated last year
• pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆365Updated last week
• mgmalek / efficient_cross_entropy
  ☆113Updated last year
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆165Updated this week
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆324Updated this week
• google / tunix
  A JAX-native LLM Post-Training Library
  ☆70Updated this week
• stanford-crfm / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆625Updated this week
• AI-Hypercomputer / JetStream
  JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…
  ☆359Updated last month
• rwitten / HighPerfLLMs2024
  ☆514Updated last year
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 11 months ago
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆281Updated 2 weeks ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆256Updated 2 weeks ago
• AI-Hypercomputer / kithara
  ☆14Updated 2 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆136Updated last year
• AI-Hypercomputer / xpk
  xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…
  ☆132Updated this week
• google-deepmind / nanodo
  ☆274Updated last year
• ayaka14732 / llama-2-jax
  JAX implementation of the Llama 2 model
  ☆219Updated last year
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆128Updated 2 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆207Updated last week
• nshepperd / flash_attn_jax
  JAX bindings for Flash Attention v2
  ☆90Updated last year
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆435Updated this week
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆139Updated 8 months ago