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Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

LLM 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.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

The Audiocraft library is a powerful tool for audio processing and generation using deep learning. Developed by Facebook Research, it includes the Encodec audio compressor tokenizer and MusicGen, a language model for music generation that can be controlled with text and melody. This makes it a valuable resource for developers and researchers interested in music generation and audio processing. The library is built on PyTorch and requires a GPU for operation.

The python package that returns Response of Google Bard through API.

Supervisely Python SDK.

Robust Speech Recognition via Large-Scale Weak Supervision