ColossalAI VS fairscale

Compare ColossalAI vs fairscale and see what are their differences.

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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ColossalAI fairscale
42 6
39,061 3,255
0.2% 1.3%
9.7 3.2
5 days ago about 1 month ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

ColossalAI

Posts with mentions or reviews of ColossalAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-22.

fairscale

Posts with mentions or reviews of fairscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-27.

What are some alternatives?

When comparing ColossalAI and fairscale you can also consider the following projects:

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Megatron-LM - Ongoing research training transformer models at scale

Megatron-DeepSpeed - Ongoing research training transformer language models at scale, including: BERT & GPT-2

DeepFaceLive - Real-time face swap for PC streaming or video calls

torchscale - Foundation Architecture for (M)LLMs

ivy - Convert Machine Learning Code Between Frameworks

pytorch-lightning - Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

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

PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
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