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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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activeloopai / deeplake

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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

python data-science machine-learning ai computer-vision deep-learning tensorflow cv image-processing ml pytorch datasets data-version-control datalake mlops vector-search vector-database large-language-models llm langchain
  • Updated May 10, 2024
  • Python
superduperdb

SuperDuperDB / superduperdb

Star 4.4k

🔮 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.

python data database ai mongodb chatbot ml transformers inference torch pytorch pretrained-models semantic-search rag mlops distributed-ml vector-search llmops llm-serving llm-inference
  • Updated May 13, 2024
  • Python

deepchecks / deepchecks

Star 3.4k

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

python data-science machine-learning deep-learning data-validation pandas-dataframe jupyter-notebook ml pytorch html-report model-validation mlops model-monitoring data-drift
  • Updated May 8, 2024
  • Python
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