Alternatives and similar repositories for lightseq

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

• Tencent / TurboTransformers
  a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
  ☆1,535Updated 3 months ago
• NVIDIA / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆6,344Updated last year
• huawei-noah / Pretrained-Language-Model
  Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
  ☆3,143Updated last year
• facebookresearch / fairscale
  PyTorch extensions for high performance and large scale training.
  ☆3,385Updated 6 months ago
• laekov / fastmoe
  A fast MoE impl for PyTorch
  ☆1,811Updated 9 months ago
• Tencent / PatrickStar
  PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.
  ☆768Updated 2 years ago
• deepspeedai / Megatron-DeepSpeed
  Ongoing research training transformer language models at scale, including: BERT & GPT-2
  ☆2,185Updated 2 months ago
• BaguaSys / bagua
  Bagua Speeds up PyTorch
  ☆882Updated last year
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,519Updated 4 years ago
• OpenPPL / ppl.nn
  A primitive library for neural network
  ☆1,369Updated 11 months ago
• bytedance / byteps
  A high performance and generic framework for distributed DNN training
  ☆3,711Updated 2 years ago
• airaria / TextBrewer
  A PyTorch-based knowledge distillation toolkit for natural language processing
  ☆1,684Updated 2 years ago
• alibaba / AliceMind
  ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
  ☆2,041Updated last year
• bigscience-workshop / Megatron-DeepSpeed
  Ongoing research training transformer language models at scale, including: BERT & GPT-2
  ☆1,427Updated last year
• NVIDIA / TransformerEngine
  A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…
  ☆2,883Updated last week
• alibaba / EasyTransfer
  EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
  ☆860Updated 3 years ago
• Oneflow-Inc / oneflow
  OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
  ☆9,369Updated 2 months ago
• Jittor / jittor
  Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
  ☆3,213Updated 3 months ago
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,846Updated this week
• Oneflow-Inc / libai
  LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
  ☆407Updated 3 months ago
• mli / transformers-benchmarks
  real Transformer TeraFLOPS on various GPUs
  ☆917Updated last year
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆904Updated 10 months ago
• mlc-ai / mlc-zh
  ☆619Updated last year
• ELS-RD / transformer-deploy
  Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
  ☆1,688Updated last year
• alibaba / EasyNLP
  EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
  ☆2,172Updated 11 months ago
• zhihu / cuBERT
  Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
  ☆544Updated 4 years ago
• OpenBMB / BMInf
  Efficient Inference for Big Models
  ☆587Updated 2 years ago
• bytedance / effective_transformer
  Running BERT without Padding
  ☆475Updated 3 years ago
• huawei-noah / bolt
  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  ☆953Updated 7 months ago
• microsoft / torchscale
  Foundation Architecture for (M)LLMs
  ☆3,119Updated last year