Popular GitHub Repositories for Mimic Iii

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.

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning

Handwriting-Transformers (ICCV21)

An electrocardiogram analysis foundation model.

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

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