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Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Some ipython notebooks implementing AI algorithms
Evaluate the accuracy of LLM generated outputs
SoTA LLM for converting natural language questions to SQL queries
Clone a voice in 5 seconds to generate arbitrary speech in real-time
A nanoGPT pipeline packed in a spreadsheet
Literature references for “Designing Data-Intensive Applications”
The official Python library for the OpenAI API
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Code Repository for Liquid Time-Constant Networks (LTCs)
An open source python library for scalable Bayesian optimisation.
Asyncer, async and await, focused on developer experience.
openmrs - mysql - debezium - kafka - spark - scala
OpenMRS change data capture pipeline using Apache Camel and Debezium Engine
A generic proxy server for applying access-control policies for a FHIR-store.
Contains examples of how Open Health Stack components can be used together as the foundation for FHIR based digital health solutions
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
Python utilities for working with FHIR, including libraries to build simple, flat FHIR views in BigQuery.
A collection of tools for extracting FHIR resources and analytics services on top of that data.
Learning to learn from Web and Social Media data. Joint image-text embeddings oriented to image by text retrieval.
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering