Stars
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
💬 MaxKB is an open-source AI assistant for enterprise. It seamlessly integrates RAG pipelines, supports robust workflows, and provides MCP tool-use capabilities.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
A collection of high-impact and state-of-the-art SR methods
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
This is a practice to implement "Instance-level Facial Attributes Transfer with Geometry-Aware Flow" in Tensorflow 2.0.
A Survey and Taxonomy of the Recent GANs Development，computer vision & time series
Superpixel segmentation using SLIC with Python.
Learn and analyse hyperspectral data of leafs with GAN
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promisi…
Train an Auxiliary Classifier Generative Adversarial Network (ACGAN)
Auxiliary Classifier Generative Adversarial Networks in Keras
Keras implementation of Wasserstein GAN. Modified from the ACGAN example.
Collection of generative models in Tensorflow
Generative Adversarial Networks for synthetic hyperspectral data generation.
Awesome GAN for Medical Imaging