leewise9,Leo,github

attention-module-in-computer-vision

This project summarizes the attention module in computer vision, including the principle and implementation.

autopilot_self_driving_car_steering

自动驾驶之方向盘转动角度预测，基于keras，支持GPU加速。The prediction of steering wheel angle of automatic driving, based on keras, runs on GPU.

autopilot_traffic_sign_recognition

自动驾驶之交通指示牌的识别，基于keras，支持GPU加速。Traffic Sign Recognition code in keras, runs on GPU.

capsule-network

This project will explore the capsule network, take MNIST as an example, the code is based on keras

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coding-interview-university

A complete computer science study plan to become a software engineer.

eye-of-the-sky

In this project, SegNet, U-Net etc. are used for semantic segmentation of satellite images. Based on keras and runs on GPU.

face-detection-with-landmarks

This is a human face detection project, which can detect human faces and mark key points at the same time

image_captioning

看图说话，基于keras，支持GPU。Image captioning code in keras, runs on GPU.

models

Models and examples built with TensorFlow

mt_codes_issues

This repository only receives feedback questions, which will be answered by the author after work，Thanks for your understanding!

pytorch_convlstm

convolutional lstm implementation in pytorch

reid-overview

This is a review of Person Re-identification

segmentation-based-surface-defect-detection

This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is based on keras and runs on GPU.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

siamese-neural-network

This project will explore siamese neural network, and use it to build a face recognition system. Based on pytorch and runs on GPU.

summary-and-practice-of-semantic-segmentation

This is a survey and practice of semantic segmentation network. Taking the satellite image segmentation as the research task, several classic neural networks based on deep learning are tested.

the-beginning-of-machine-learning

机器学习入门：手写数字识别，声呐分类，垃圾短信识别，鸢尾花分类

the-beginning-of-machine-learning-advanced

机器学习入门（进阶）：基于深度学习的卫星图像识别，基于逻辑回归的情感分析，基于词袋模型的问答系统

using-binarized-neural-network-to-build-models

This project will explore how to build a binarized neural network. Take MNIST and traffic signs recognition for example. The code is based on keras and runs on GPU.

This project will explore how the efficiency network can improve the calculation efficiency and reduce the size of the model. Taking the steering wheel angle prediction network as an example, it runs on the GPU based on keras.

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