zefanyang's Stars
microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
RPIDIAL/BI-Mamba
Source code of BI-Mamba for cardiovascular disease detection from two-view chest X-rays
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
zefanyang/pacingpseudo
Source code for medical scribble-supervised segmentation
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
xionghonglin/DoctorGLM
基于ChatGLM-6B的中文问诊模型
LC1332/Chinese-alpaca-lora
骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Project-MONAI/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
openai/openai-cookbook
Examples and guides for using the OpenAI API
zefanyang/zefanyang
Config files for my GitHub profile.
HKU-MedAI/MGCA
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
zdou0830/alignment-scripts
Scripts to preprocess training and test data and to run fast_align and giza
zdou0830/METER
METER: A Multimodal End-to-end TransformER Framework
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
zefanyang/MIA-LLMs
meta-llama/llama
Inference code for Llama models
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
chenfei-wu/TaskMatrix
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
HiLab-git/WORD
[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
zefanyang/organsegct
Source code for abdominal organ segmentation in computed tomography (CT)
rrr-uom-projects/FLARE21
https://flare.grand-challenge.org/FLARE21/
Shanghai-Aitrox-Technology/EfficientSegmentation
Segmentation for medical image.
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
Wuziyi616/Graduate_Application
Documents used for grad school application