Alternatives and similar repositories for PatrickStar:

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

• Oneflow-Inc / libai
  LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
  ☆397Updated 2 months ago
• hpcaitech / EnergonAI
  Large-scale model inference.
  ☆628Updated last year
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆850Updated 2 months ago
• Tencent / TurboTransformers
  a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
  ☆1,514Updated last year
• bytedance / lightseq
  LightSeq: A High Performance Library for Sequence Processing and Generation
  ☆3,259Updated last year
• bytedance / effective_transformer
  Running BERT without Padding
  ☆472Updated 3 years ago
• volcengine / veGiantModel
  ☆214Updated last year
• BaguaSys / bagua
  Bagua Speeds up PyTorch
  ☆879Updated 7 months ago
• ELS-RD / kernl
  Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…
  ☆1,559Updated last year
• microsoft / Tutel
  Tutel MoE: An Optimized Mixture-of-Experts Implementation
  ☆784Updated this week
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆471Updated last year
• facebookresearch / bitsandbytes
  Library for 8-bit optimizers and quantization routines.
  ☆718Updated 2 years ago
• hpcaitech / ColossalAI-Examples
  Examples of training models with hybrid parallelism using ColossalAI
  ☆338Updated last year
• Oneflow-Inc / DLPerf
  DeepLearning Framework Performance Profiling Toolkit
  ☆285Updated 2 years ago
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆979Updated 6 months ago
• Oneflow-Inc / models
  Models and examples built with OneFlow
  ☆96Updated 5 months ago
• triton-inference-server / fastertransformer_backend
  ☆411Updated last year
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆579Updated 5 months ago
• PersiaML / PERSIA
  High performance distributed framework for training deep learning recommendation models based on PyTorch.
  ☆402Updated this week
• pytorch / torchdynamo
  A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
  ☆1,035Updated 11 months ago
• alibaba / EasyParallelLibrary
  Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
  ☆267Updated last year
• OpenBMB / BMInf
  Efficient Inference for Big Models
  ☆580Updated 2 years ago
• OpenPPL / ppl.nn
  A primitive library for neural network
  ☆1,324Updated 3 months ago
• zhihu / cuBERT
  Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
  ☆543Updated 4 years ago
• ELS-RD / transformer-deploy
  Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
  ☆1,680Updated 4 months ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆201Updated 2 years ago
• hpcaitech / PaLM-colossalai
  Scalable PaLM implementation of PyTorch
  ☆191Updated 2 years ago
• pytorch / kineto
  A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
  ☆780Updated this week
• microsoft / fastseq
  An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/p…
  ☆432Updated 2 years ago
• mlc-ai / mlc-zh
  ☆604Updated 9 months ago