ds2 VS cerche

Compare ds2 vs cerche and see what are their differences.

cerche

Experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe). (by langa-me)
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ds2 cerche
5 2
48 4
- -
0.0 10.0
3 months ago over 1 year ago
Python Python
Apache License 2.0 -
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.

What are some alternatives?

When comparing ds2 and cerche you can also consider the following projects:

carefree-learn - Deep Learning ❤️ PyTorch

prompttools - Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

autoembedder - PyTorch autoencoder with additional embeddings layer for categorical data 🚘

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

function-identification - This project demonstrates how a convolutional neural network can be used to detect the boundaries of a function in compiled code

OmniBridge - Access different AI models in a one place