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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
kimaina / openmrs-elt
Forked from AMPATH/offline-pyspark-scriptsOpenMRS ELT
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
A latent text-to-image diffusion model
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM