Popular GitHub Repositories for Mimic Iv

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

? 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.

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

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

[IV 2025, Oral] Official code of "LiDPM: Rethinking Point Diffusion for Lidar Scene Completion"

Self-verification for LLMs.

[IV'24] UniBEV: the official implementation of UniBEV

IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

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

Deep Federated Learning for Autonomous Driving (IV'22)

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