ai-in-population-health-lab Goto Github PK

aplusml

APLUS ML = A Python Library for Usefulness Simulations of Machine Learning models

deep-transfer-learning-package-release-v1

deep transfer learning, DANN, model-based transfer learning

domainbed

DomainBed is a suite to test domain generalization algorithms

gpt-rag

Sharing the learning along the way we been gathering to enable Azure OpenAI at scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

heterogeneous-transfer-learning

This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).

homepage

how-to-use-transformers

Transformers 库快速入门教程

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

me-llama

A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nn-zero-to-hero

Neural Networks: Zero to Hero

offsite-tuning

Offsite-Tuning: Transfer Learning without Full Model

ohdsi-phevaluator

An R package for evaluating phenotype algorithms.

ollama

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

prompt-engineering-101

pytorch-how-and-when-to-use-module-sequential-modulelist-and-moduledict

Code for my medium article

rags

Build ChatGPT over your data, all with natural language

shap

A game theoretic approach to explain the output of any machine learning model.