fangxuanhao

fangxuanhao's Stars

• PeterH0323/Streamer-Sales

  Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️

  Language:Python1.2k172

• baiyang2464/chatbot-base-on-Knowledge-Graph

  使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统

  Language:Python681200

• Diyago/Tabular-data-generation

  We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

  Language:Python51082

• pterhoer/FaceImageQuality

  Code and information for face image quality assessment with SER-FIQ

  Language:Python51389

• checktor/face_amnesia

  Face detection and retrieval in image and video files.

  Language:Python61

• DoryAzar/FaceDetectPython

  FaceDetect is a face detection and recognition framework built in Python on top of the work of several open source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition.

  Language:Python124

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM, Qwen 与 Llama 等）基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript29.4k5.2k

• vic2ray/yolov5_vue

  基于Yolov5的Vue前端目标检测和训练可视化系统

  Language:Python4612

• phamquiluan/jdeskew

  ICIP 2022: Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation

  Language:Jupyter Notebook11010

• chopin1998/label_it

  A tool for annotating image datasets, allowing the creation of key-value pairs for each image, with OCR assistanced. It maybe suitable for creating datasets of donut/LayoutLMv3.

  Language:Python7

• sbrunner/deskew

  Library used to deskew a scanned document

  Language:Python39047

• PaddlePaddle/PaddleSeg

  Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

  Language:Python8.4k1.7k

• luca-medeiros/lightning-sam

  Fine-tune Segment-Anything Model with Lightning Fabric.

  Language:Python44750

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook45.3k5.4k

• imfing/keras-flask-deploy-webapp

  :smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

  Language:JavaScript1.2k477

• realpython/discover-flask

  Full Stack Web Development with Flask.

  Language:Python4.5k801

• murufeng/FUIR

  A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

  Language:Python26930

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python26.9k3.4k

• sunilbelde/Imagedenoising-dncnn-ridnet-keras

  Removing noise from images using deep learning models.Used some state-of-the-art denoising model’s architecture from research papers like DnCNN and RIDNET. Created Quantized models of the above models and Performed detailed analysis of the models.

  Language:Jupyter Notebook195

• wanpiqiu123/Image-denoise-with-meta-learning

  Using Keras to implement Reptile on contemporary image denoising methods

  Language:Python21

• Fabio-Gil-Z/IRUNet

  Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network.

  Language:Python2

• shibuiwilliam/DeepLearningDenoise

  Denoising Cifar10 images using deep learning with Keras

  Language:Jupyter Notebook164

• gandalf1819/Denoise-Noisy-Docs

  Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

  Language:Jupyter Notebook2511

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript53.7k15.8k

• sun126/ADNet

  ADNet Implementation using Tensorflow

  Language:Python105

• gvfjyy/imageDenoise-UNet-VGG

  拓片图像去噪，以UNet为基本框架，编码器基于VGG16

  Language:Python195

• mingmingli916/MyAITools

  AI toolkits

  Language:Python1

• fangxuanhao/deep_learning_for_computers

  Language:Python1

• Binaryify/NeteaseCloudMusicApi

  网易云音乐 Node.js API service

  30.3k15.8k

• rtflynn/Cifar-Autoencoder

  A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

  Language:Python626