Popular GitHub Repositories for Firefly Iii

Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

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

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

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

Firefly中文LLaMA-2大模型，支持增量预训练Baichuan2、Llama2、Llama、Falcon、Qwen、Baichuan、InternLM、Bloom等大模型

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

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

Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch ?

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

My collection of: AI Prompts, Tools, and More!

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

Custom n8n node to interact with FireFly iii API

Jax/Flax implementation of DeiT and DeiT-III (ViT)

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

Master's project

Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.

MEME: Generating RNN Model Explanations via Model Extraction