Alternatives and similar repositories for e2eAIOK

Users that are interested in e2eAIOK are comparing it to the libraries listed below

• intel / torch-ccl
  oneCCL Bindings for Pytorch*
  ☆97Updated 2 months ago
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆31Updated 4 months ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 3 years ago
• mlcommons / logging
  MLPerf™ logging library
  ☆36Updated 2 months ago
• mlcommons / inference_policies
  Issues related to MLPerf™ Inference policies, including rules and suggested changes
  ☆62Updated last week
• deepspeedai / DeepSpeed-Kernels
  ☆72Updated 3 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 3 years ago
• IntelLabs / DyNAS-T
  Dynamic Neural Architecture Search Toolkit
  ☆30Updated 6 months ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆157Updated this week
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆38Updated last year
• mlcommons / policies
  General policies for MLPerf™ including submission rules, coding standards, etc.
  ☆28Updated this week
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆31Updated 2 months ago
• intel / intel-extension-for-deepspeed
  Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…
  ☆61Updated last week
• intel / llm-on-ray
  Pretrain, finetune and serve LLMs on Intel platforms with Ray
  ☆129Updated last month
• quic / efficient-transformers
  This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…
  ☆71Updated this week
• marsupialtail / sparsednn
  Fast sparse deep learning on CPUs
  ☆53Updated 2 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆50Updated last year
• NVIDIA / LDDL
  Distributed preprocessing and data loading for language datasets
  ☆39Updated last year
• jansel / pytorch-jit-paritybench
  ☆40Updated 6 months ago
• HabanaAI / SynapseAI_Core
  SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi
  ☆42Updated 4 months ago
• vllm-project / flash-attention
  Fast and memory-efficient exact attention
  ☆76Updated this week
• sandeepkumar-skb / pytorch_custom_op
  End to End steps for adding custom ops in PyTorch.
  ☆23Updated 4 years ago
• ray-project / ray_shuffling_data_loader
  A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…
  ☆18Updated 2 years ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆94Updated 6 years ago
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated 2 years ago