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📖 The user manual for GitHub Copilot Workspace
Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.
Node and pod menus for OpenLens
Turn expensive prompts into cheap fine-tuned models
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Example AWS Bedrock Agent, Knowledge bases and Action Group with Lambda project
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers …
Label, clean and enrich text datasets with LLMs.
Open source annotation tool for machine learning practitioners.
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 mo…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🎨 Diagram as Code for prototyping cloud system architectures
The official Python library for the OpenAI API
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
Header-only C++/python library for fast approximate nearest neighbors
the AI-native open-source embedding database
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
A database migrations tool for SQLAlchemy.
Implementation of Redis API in python without having a server running. Fully compatible with using redis-py.
🦜🔗 Build context-aware reasoning applications
Python composable command line interface toolkit
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Use a docx as a jinja2 template