DeepSpeed VS pytorch-forecasting

Compare DeepSpeed vs pytorch-forecasting and see what are their differences.

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DeepSpeed pytorch-forecasting
41 8
25,088 2,849
61.0% -
9.6 7.9
2 days ago about 2 months 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.


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 2023-05-11.


Posts with mentions or reviews of pytorch-forecasting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-06.

What are some alternatives?

When comparing DeepSpeed and pytorch-forecasting you can also consider the following projects:

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

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

darts - A python library for user-friendly forecasting and anomaly detection on time series.

TensorRT - NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

Megatron-LM - Ongoing research training transformer models at scale

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

llama - Inference code for LLaMA models

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification