Alternatives and similar repositories for tpu_graphs

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

• microsoft / varuna
  ☆251Updated last year
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆102Updated last year
• Ying1123 / awesome-neural-symbolic
  A list of awesome neural symbolic papers.
  ☆48Updated 3 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆159Updated 2 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆136Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆147Updated 4 months ago
• stanford-futuredata / stk
  ☆110Updated last year
• awslabs / slapo
  A schedule language for large model training
  ☆149Updated last week
• ShishirPatil / poet
  ML model training for edge devices
  ☆166Updated last year
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆86Updated 2 years ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆208Updated last week
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆120Updated 9 months ago
• google / aqt
  ☆325Updated 3 weeks ago
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆256Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆149Updated 10 months ago
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆63Updated 5 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆232Updated last week
• CentML / DeepView.Profile
  🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.
  ☆64Updated 7 months ago
• ml-energy / zeus
  Measure and optimize the energy consumption of your AI applications!
  ☆290Updated 3 weeks ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆283Updated 8 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆51Updated this week
• insuhan / hyper-attn
  ☆81Updated last year
• ml-energy / leaderboard
  How much energy do GenAI models consume?
  ☆47Updated 3 months ago
• microsoft / DeepGNN
  DeepGNN is a framework for training machine learning models on large scale graph data.
  ☆137Updated 3 weeks ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆233Updated this week
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆68Updated 8 months ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆273Updated 3 years ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆252Updated 7 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆70Updated 5 months ago