XueYang6

XueYang6's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python63.6k1.1k011k

• keras-team/keras

  Deep Learning for humans

  Language:Python62k1.9k12.2k19.5k

• abi/screenshot-to-code

  Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

  Language:Python59.8k3533147.3k

• xai-org/grok-1

  Grok open release

  Language:Python49.5k5692108.3k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.6k2583112.7k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.2k1604198k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.9k2452.5k3.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.3k2758693.1k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.1k1134081.4k

• jaywcjlove/reference

  为开发人员分享快速参考备忘清单(速查表)

  Language:Dockerfile12.3k672491.9k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11k1132063.2k

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.2k714462.5k

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python7.9k1322961.5k

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.5k62140483

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.3k35831.2k

• TrickyGo/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  Language:Jupyter Notebook3.8k10457820

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python1.9k1666346

• hkchengrex/Tracking-Anything-with-DEVA

  [ICCV 2023] Tracking Anything with Decoupled Video Segmentation

  Language:Python1.3k16109129

• PAIR-code/saliency

  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

  Language:Jupyter Notebook9552437191

• jsyoon0823/TimeGAN

  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

  Language:Jupyter Notebook8611083273

• plotly/datasets

  Datasets used in Plotly examples and documentation

  Language:HTML64574131.6k

• ZhenglinZhou/Data_Augmentation_Zoo_for_Object_Detection

  Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

  Language:Python2442447

• rachtibat/zennit-crp

  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

  Language:Jupyter Notebook11871515

• MI2DataLab/survshap

  SurvSHAP(t): Time-dependent explanations of machine learning survival models

  Language:Jupyter Notebook8161815

• jiajunhua/ddbourgin-numpy-ml

  Language:Python51409

• acphile/RTSGAN

  Language:Python37288

• avaamini/protease_activity_analysis

  Python toolkit and package for analyzing enzyme activity data

  Language:Jupyter Notebook9214

• Faysal-MD/An-Interpretable-Deep-Learning-Approach-for-Skin-Cancer-Categorization-IEEE2023

  Multiclass skin cancer detection using explainable AI for checking the models' robustness

  Language:Jupyter Notebook7214

• Martin-harry/Android_Hospital_Body_Master

  Language:Java1