Animation engine for explanatory math videos

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Unified web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

Refine high-quality datasets and visual AI models

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Medical imaging processing for AI applications.

An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.

Configs and boilerplates for Label Studio's Machine Learning backend

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"

[CVPR 2025] SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures

Minimalistic COCO Dataset Viewer in Tkinter

[IEEE TCSVT] Vivim: a Video Vision Mamba for Medical Video Segmentation

[ISBI 2024 Oral] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"

Official PyTorch implementation of the paper "RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation"

The official codes for the work "MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation".

[TNNLS 2026] SvANet: Exploiting Scale-Variant Attention for Segmenting Small Medical Objects

Official repository of ICCV 2025 CVAMD Oral paper: MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation

Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder

[MICCAI 2025] CENet: Context Enhancement Network for Medical Image Segmentation

C++ implementation of the Ramer-Douglas-Peucker algorithm (binding to python via pybind11) https://deepwiki.com/cubao/pybind11-rdp