Alex-zhai

Alex-zhai's Stars

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.7k4792.5k3.7k

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2295172.4k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k343312.3k

• apachecn/Interview

  Interview = 简历指南 + 算法题 + 八股文 + 源码分析

  Language:Jupyter Notebook8.7k352282.2k

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1961.4k1.8k

• microsoft/MMdnn

  MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

  Language:Python5.8k181617965

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k925281k

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.8k2593604

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k36144483

• keras-team/keras-applications

  Reference implementations of popular deep learning models.

  Language:Python2k76164908

• bonlime/keras-deeplab-v3-plus

  Keras implementation of Deeplab v3+ with pretrained weights

  Language:Jupyter Notebook1.4k27127428

• qubvel/classification_models

  Classification models trained on ImageNet. Keras.

  Language:Python1.2k3465307

• omoindrot/tensorflow-triplet-loss

  Implementation of triplet loss in TensorFlow

  Language:Python1.1k3861283

• openseg-group/OCNet.pytorch

  Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

  Language:Python8132467128

• sthalles/deeplab_v3

  Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

  Language:Jupyter Notebook8042344283

• rushter/heamy

  A set of useful tools for competitive data science.

  Language:Python552167114

• titu1994/keras-squeeze-excite-network

  Implementation of Squeeze and Excitation Networks in Keras

  Language:Python4001521118

• Vladkryvoruchko/PSPNet-Keras-tensorflow

  TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet

  Language:Python3941955175

• akarshzingade/image-similarity-deep-ranking

  Language:Python3711833103

• titu1994/Keras-Classification-Models

  Collection of Keras models used for classification

  Language:Python3161812100

• hszhao/PSANet

  PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

  Language:C++218121237

• lyakaap/Kaggle-Carvana-3rd-Place-Solution

  3rd place solution ( Carvana Image Masking Challenge )

  Language:Python2166657

• sararob/keras-wine-model

  Model built with the Keras Functional API

  Language:Jupyter Notebook839447

• kashif/tf-keras-tutorial

  tf.keras + tf.data with Eager Execution

  Language:Jupyter Notebook746530

• asparagus/triplet-net

  Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf

  Language:Python583112

• ykamikawa/tf-keras-PSPNet

  PSPNet for Semantic Segmentation with tensorflow and keras

  Language:Python552527

• ksalama/tf-estimator-tutorials

  This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way.

  Language:Jupyter Notebook514214

• km1414/CNN-models

  YOLO-v2, ResNet-32, GoogLeNet-lite

  Language:Python363216

• blaueck/tf-triplet-demo

  This project implements triplet loss and semi-hard mining in tensorflow.

  Language:Python13363

• avilash/tensorflow-siamese

  Siamese Networks in Tensorflow

  Language:Python6122