ColossalAI VS Megatron-LM

Compare ColossalAI vs Megatron-LM and see what are their differences.

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ColossalAI Megatron-LM
42 20
39,061 11,355
0.2% 3.8%
9.7 9.9
5 days ago 3 days 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.

Megatron-LM

Posts with mentions or reviews of Megatron-LM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-25.

What are some alternatives?

When comparing ColossalAI and Megatron-LM 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.

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

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

ivy - Convert Machine Learning Code Between Frameworks

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

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.

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

Qwen2.5 - Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

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

ChatGPT-Siri - Shortcuts for Siri using ChatGPT API gpt-3.5-turbo & gpt-4 model, supports continuous conversations, configure the API key & save chat records. 由 ChatGPT API gpt-3.5-turbo & gpt-4 模型驱动的智能 Siri,支持连续对话,配置API key,配置系统prompt,保存聊天记录。

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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