Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
For running psychology and neuroscience experiments
Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
[TCSVT' 25] De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
Models and examples built with TensorFlow
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么;Chinese Independent Developers Projects List - Discover What Everyone Is Building 👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻
ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
The interactive graphing library for Python ✨
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Federated Learning framework extending the nnUNet
Segment Anything for Microscopy
Pseudotime analysis for time-series single-cell sequencing and imaging data
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
[CIBM'24] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
An open source implementation of CLIP.
pip install python-office 自动化办公专用库
MedVLThinker: Simple Baselines for Multimodal Medical Reasoning
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation (CVPR 2025)