Alternatives and similar repositories for neuronx-nemo-megatron

Users that are interested in neuronx-nemo-megatron are comparing it to the libraries listed below

• aws-samples / aws-parallelcluster-megatron
  ☆14Updated 4 years ago
• aws-neuron / aws-neuron-parallelcluster-samples
  ☆23Updated last year
• aws-neuron / nki-samples
  ☆38Updated last week
• aws-neuron / aws-neuron-samples
  Example code for AWS Neuron SDK developers building inference and training applications
  ☆148Updated last month
• aws-neuron / neuronx-distributed
  ☆59Updated 2 weeks ago
• aws-neuron / transformers-neuronx
  ☆111Updated 6 months ago
• aws-neuron / aws-neuron-reference-for-megatron-lm
  ☆14Updated last year
• aws-neuron / aws-neuron-sdk
  Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and i…
  ☆529Updated this week
• huggingface / optimum-neuron
  Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
  ☆233Updated this week
• awslabs / ml-io
  A high performance data access library for machine learning tasks
  ☆74Updated last year
• aws-samples / aws-efa-nccl-baseami-pipeline
  EFA/NCCL base AMI build Packer and CodeBuild/Pipeline files. Also base Docker build files to enable EFA/NCCL in containers
  ☆43Updated last year
• aws / sagemaker-pytorch-inference-toolkit
  Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…
  ☆141Updated 9 months ago
• aws-neuron / upstreaming-to-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆18Updated 2 weeks ago
• aws-samples / llm-evaluation-methodology
  ☆44Updated 8 months ago
• google / saxml
  ☆142Updated last week
• aws-samples / aws-inferentia-huggingface-workshop
  CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemaker
  ☆14Updated last year
• aws-samples / sagemaker-studio-image-build-cli
  CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
  ☆56Updated 3 years ago
• awslabs / nki-autotune
  ☆14Updated this week
• aws-samples / awsome-distributed-training
  Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
  ☆323Updated this week
• aws-samples / amazon-sagemaker-nvidia-ngc-examples
  Examples showing use of NGC containers and models withing Amazon SageMaker
  ☆17Updated 2 years ago
• shashankprasanna / ai-accelerators-examples
  Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference
  ☆32Updated 4 years ago
• aws-samples / sagemaker-studio-docker-cli-extension
  SageMaker Studio Docker CLI Extension
  ☆13Updated last year
• aws / amazon-s3-plugin-for-pytorch
  ☆167Updated 2 years ago
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆86Updated 2 years ago
• aws-samples / aws-do-eks
  Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…
  ☆60Updated last month
• NVIDIA / LDDL
  Distributed preprocessing and data loading for language datasets
  ☆39Updated last year
• HabanaAI / Model-References
  Reference models for Intel(R) Gaudi(R) AI Accelerator
  ☆166Updated last week
• GoogleCloudPlatform / ml-testing-accelerators
  Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
  ☆64Updated last month
• AtsunoriFujita / sagemaker_nlp_examples
  NLP examples(almost Japanese) on AWS
  ☆12Updated 3 years ago
• lessw2020 / transformer_central
  Various transformers for FSDP research
  ☆37Updated 2 years ago