Alternatives and similar repositories for ray-scalable-ml-design

Users that are interested in ray-scalable-ml-design are comparing it to the libraries listed below

• ryantd / veloce
  WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
  ☆18Updated 3 years ago
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆33Updated 4 months ago
• tensorchord / inference-benchmark
  Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)
  ☆28Updated 2 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 4 years ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 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
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆68Updated 9 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated last year
• aws-neuron / aws-neuron-reference-for-megatron-lm
  ☆14Updated 2 years ago
• eth-easl / mixtera
  A lightweight, user-friendly data-plane for LLM training.
  ☆26Updated last week
• simon-mo / vLLM-Benchmark
  ☆31Updated 4 months ago
• tensorchord / ai-infra-statistics
  This repository contains statistics about the AI Infrastructure products.
  ☆17Updated 6 months ago
• stanford-crfm / helm-efficiency
  ☆10Updated last year
• bentoml / simple_di
  Simple dependency injection framework for Python
  ☆21Updated last year
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆44Updated 9 months ago
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆86Updated last year
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆32Updated 4 years ago
• shreyashankar / spade-experiments
  Experiments to assess SPADE on different LLM pipelines.
  ☆17Updated last year
• hpcaitech / CachedEmbedding
  A memory efficient DLRM training solution using ColossalAI
  ☆106Updated 2 years ago
• withmartian / leaderboard-backend
  Open sourced backend for Martian's LLM Inference Provider Leaderboard
  ☆19Updated last year
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆132Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• GuanhuaWang / sensAI
  sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
  ☆64Updated last year
• 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
• Harry-Chen / InfMoE
  Inference framework for MoE layers based on TensorRT with Python binding
  ☆41Updated 4 years ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated last year
• ray-project / plasma
  A minimal shared memory object store design
  ☆54Updated 8 years ago
• LiuShuai26 / Distributed-RL
  Distributed DRL by Ray and TensorFlow Tutorial.
  ☆10Updated 5 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆161Updated 2 months ago
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆20Updated 2 years ago