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Innovaccer
- San Mateo, CA
- https://kuldeep.net.in/
Stars
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
ai-generated apps , full stack + generative UI
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
An autonomous agent that conducts deep research on any data using any LLM providers
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
A comprehensive NLP preprocessing package for clinical notes sentence boundary detection, tokenization
a library for named entity recognition developed by UF HOBI NLP lab featuring SOTA algorithms
all scripts used in gatortron project
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
repository for Publicly Available Clinical BERT Embeddings
Med-BERT, contextualized embedding model for structured EHR data
Port of OpenAI's Whisper model in C/C++
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Robust Speech Recognition via Large-Scale Weak Supervision
Faster Whisper transcription with CTranslate2
Python package for machine learning for healthcare using a OMOP common data model
Open Source FHIR Server backed by MongoDB
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
Integrating AI to Clinical Workflow
Python library to parse, create and handle HL7 v2 messages.
The swiss army knife of healthcare integration.
A sample of implementing FHIR Works on AWS Integration Transform