awesome/machine-learning
1
0
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2025-11-06 22:54:32 -05:00
Code Activity

Update Chroma description

Browse source
This commit is contained in:
Philip I. Thomas 2025-08-05 18:24:02 -07:00 • committed by GitHub
parent a709e278ec
commit ffabcd7df5
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
README.md
View file

@ -1807,7 +1807,7 @@ be
* [Weaviate](https://www.semi.technology/developers/weaviate/current/) – Weaviate is an [open source](https://github.com/semi-technologies/weaviate) vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale.
* [txtai](https://github.com/neuml/txtai) - Build semantic search applications and workflows.
* [MLReef](https://about.mlreef.com/) - MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.
* [Chroma](https://www.trychroma.com/) - Chroma - the AI-native open-source embedding database
* [Chroma](https://www.trychroma.com/) - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. [Self-host](https://docs.trychroma.com) or [Cloud](https://trychroma.com/signup) available.
* [Pinecone](https://www.pinecone.io/) - Vector database for applications that require real-time, scalable vector embedding and similarity search.
* [CatalyzeX](https://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil) - Browser extension ([Chrome](https://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil) and [Firefox](https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/)) that automatically finds and shows code implementations for machine learning papers anywhere: Google, Twitter, Arxiv, Scholar, etc.
* [ML Workspace](https://github.com/ml-tooling/ml-workspace) - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).