张志诚's starred repositories
inference
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
hexo-theme-next
Elegant theme for Hexo.
antvis.github.io
🔜 AntV 新站点！
BigDataView
100+套大数据可视化炫酷大屏Html5模板；包含行业：社区、物业、政务、交通、金融银行等，全网最新、最多，最全、最酷、最炫大数据可视化模板。陆续更新中
CAPTCHA-Recognition-using-CRNN
OCR system using CNN + RNN + CTC loss.
CNN-RNN-CTC
A tensorflow re-implementation for paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition"
tensorflow_CRNN
CNN+RNN+CTC
mingw-builds-binaries
MinGW-W64 compiler binaries
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
StarWhisper
StarWhisper：LLM for Astronomy
FairDomain
[ECCV 2024] FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Covid-Detector-Deployment
Utilizing TensorFlow and a CNN model, this project aims to detect COVID-19 from chest X-ray images to support rapid diagnostics and assist medical professionals in early detection.
SelfReg-UNet
Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "
MEDIGUI-ConvNet
MEDIGUI-ConvNet (Medical Imaging Convolutional Neural Network with Graphic User Interface)
Medical-Imaging-DS-Bicocca
Repository for Medical Imaging project - Bicocca
3D-CT-Scan-Viewer
A GUI tool for visualizing 3D CT scans with ground truth and predicted segmentation overlays. The viewer allows for easy navigation through slices and adjustment of CT scan intensities. Perfect for medical image analysis and comparison of segmentation results.
Medical-Report-Generator
The Medical Report Generator is a deep learning-based application designed to automatically generate captions for medical images. Leveraging advanced neural networks such as InceptionV3 and LSTM, this tool processes medical images to produce descriptive captions, aiding in the interpretation and documentation of medical findings.
2D-U-VixLSTM
2D variant of "Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?"
MetaIO
MetaImage is the text-based tagged file format for medical images that resulted. We have now extended that file format to support a variety of objects that occur in medicine such a tubes (for vessels, needles, etc.), blobs (for arbitrary shaped objects), cubes, spheres, etc. The complete library is known at MetaIO.
mimic-cxr-vqa
A new collection of medical VQA dataset based on MIMIC-CXR. Part of the work 'EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images, NeurIPS 2023 D&B'.
SemanticSegmentation-in-Medical-Imaging
In this project, I manipulate the impacts of different components of an encoder-decoder convolutional neural network (CNN) for tumor segmentation in the 2D MRI Brain Tumor Image Dataset.