ColossalAI VS DeepFaceLab

Compare ColossalAI vs DeepFaceLab and see what are their differences.

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ColossalAI DeepFaceLab
41 91
37,775 43,236
3.5% -
9.7 4.4
3 days ago 6 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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 2023-02-19.

DeepFaceLab

Posts with mentions or reviews of DeepFaceLab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-30.

What are some alternatives?

When comparing ColossalAI and DeepFaceLab 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.

faceswap - Deepfakes Software For All

Megatron-LM - Ongoing research training transformer models at scale

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

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.

avatarify - Avatars for Zoom, Skype and other video-conferencing apps.

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

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

Deep-Fakes

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

fast-stable-diffusion - fast-stable-diffusion + DreamBooth