ml-engineering VS reor

Compare ml-engineering vs reor and see what are their differences.

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ml-engineering reor
9 7
9,890 5,722
- 31.9%
9.7 9.9
8 days ago 7 days ago
Python TypeScript
Creative Commons Attribution Share Alike 4.0 GNU Affero General Public License v3.0
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.

ml-engineering

Posts with mentions or reviews of ml-engineering. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-21.

reor

Posts with mentions or reviews of reor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-03.

What are some alternatives?

When comparing ml-engineering and reor you can also consider the following projects:

slurm-mail - Slurm-Mail is a drop in replacement for Slurm's e-mails to give users much more information about their jobs compared to the standard Slurm e-mails.

pong-wars

peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

obsidian-releases - Community plugins list, theme list, and releases of Obsidian.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

get-the-news-rss-atom-feed-summary - Get a summary of the most recent news from an RSS or Atom feed using Amazon Bedrock.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

java-snapshot-testing - Facebook style snapshot testing for JAVA Tests

AtomGPT - 中英文预训练大模型,目标与ChatGPT的水平一致

llm-classifier - Classify data instantly using an LLM