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deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplab-v3-plus-cityscapes

mIOU=80.12 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

deocclusion

Code for our CVPR 2020 work.

diabetic_retinopathy_detection

Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dsntnn

PyTorch implementation of DSNT

efficientnet-pytorch

A PyTorch implementation of EfficientNet

elegant

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

faceswap

Deepfakes Software For All

fusenet-pytorch

generator-evaluator-selector-net-a-modular-approach-for-panoptic-segmentation

hrnet-facial-landmark-detection

High-resolution representation learning (HRNets) for facial landmark detection

ibn-net

Instance-Batch Normalization Networks (ECCV2018)

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imagesegmentation

Perform image segmentation and background removal in javascript using superpixes

imgaug

Image augmentation for machine learning experiments.

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

keras

Deep Learning for humans

laddernet

lightcnn

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

location-aware-upsampling-for-semantic-segmentation

The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)

look_at_boundary_pytorch

A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

machinelearning

Machine Learning in Action（机器学习实战）