Minglin Ma's repositories
poemlin.github.io
My personal blog: www.minglin.site
cpp-interviews
cpp basic code for interview
siamese_similarity_model
A Siamese similarity model for image similarity
Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
pytorch_compact_bilinear_pooling
Compact Bilinear Pooling for PyTorch
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
the-gan-zoo
A list of all named GANs!
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
CompactBilinearPooling-Pytorch
A Pytorch Implementation for Compact Bilinear Pooling.
Bilinear_CNN_dog_classifi
tensorflow->BCNN + pytorch -> vgg16/resnet/BCNN
Variational-Autoencoder-pytorch
Implementation of a convolutional Variational-Autoencoder model in pytorch.
leetcode-2
Leetcode revision.
bilinear-cnn
PyTorch implementation of bilinear CNN for fine-grained image recognition
Conditional-Gans
The test code for Conditional convolutional adversarial networks.
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Faster-High-Res-Neural-Inpainting
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
semantic_image_inpainting
Semantic Image Inpainting
Bilinear-CNN-TensorFlow
This is an implementation of Bilinear Convolutional Neural Network using TensorFlow.
Video-Classification-CNN-and-LSTM-
To classify video into various classes using keras library with tensorflow as back-end.
lidc_nodule_detection
lidc nodule detection with CNN and LSTM network
dilation-tensorflow
A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
Conditional-GAN
Anime Generation
DeepLearning_Demo
some demo
My-TensorFlow-tutorials
This repo contains all of my TensorFlow tutorials