Popular GitHub Repositories for Mimic

? Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

Mimic Recording Studio is a Docker-based application you can install to record voice samples, which can then be trained into a TTS voice with Mimic2

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Handwriting-Transformers (ICCV21)

An electrocardiogram analysis foundation model.

Large language model fine-tuned to mimic LIHKG users' behavior

IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping

Improving Chest X-Ray Report Generation by Leveraging Warm-Starting

Self-verification for LLMs.

Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)

Learning from Discharge Summaries to extract mentioned diagnoses using Hierarchical Attention Model

Rare disease identification from free-text clinical notes with ontologies and weak supervision

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Rust LLM Stream Analyzer and Content Generator

Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.

Master's project

AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)