302850047

302850047's Stars

• 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:JavaScript54.4k2.2k18915.8k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.1k299133.5k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.1k1291k1.6k

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++8.3k901.8k936

• datawhalechina/thorough-pytorch

  PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

  Language:Jupyter Notebook2.5k1749413

• frgfm/torch-cam

  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)

  Language:Python2k1160205

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k3425299

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.5k33127240

• frankkramer-lab/MIScnn

  A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

  Language:Python40214116116

• HKU-MedAI/WSI-HGNN

  [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

  Language:Python684137

• kevinkwshin/easyNNUNET

  Language:Jupyter Notebook22204

• cpystan/Wsi-Caption

  Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 oral)

  Language:Python20451

• rina-ding/gat-mamba

  Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

  Language:Python11301

• ZIC-skyzrc/HCC-segmentation

  Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM

  Language:Python10114