DeepSpeed VS fairseq

Compare DeepSpeed vs fairseq and see what are their differences.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. (by microsoft)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python. (by facebookresearch)
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DeepSpeed fairseq
51 90
35,236 30,380
0.9% 0.5%
9.7 5.3
6 days ago 15 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DeepSpeed

Posts with mentions or reviews of DeepSpeed. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

fairseq

Posts with mentions or reviews of fairseq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-03.

What are some alternatives?

When comparing DeepSpeed and fairseq you can also consider the following projects:

ColossalAI - Making large AI models cheaper, faster and more accessible

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Megatron-LM - Ongoing research training transformer models at scale

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

fairscale - PyTorch extensions for high performance and large scale training.

text-to-text-transfer-transformer - Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

espnet - End-to-End Speech Processing Toolkit

accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

mesh-transformer-jax - Model parallel transformers in JAX and Haiku

taro - 开放式跨端跨框架解决方案,支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。 https://taro.zone/

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