yanshangongzi's repositories
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
LibreCAD
LibreCAD is a cross-platform 2D CAD program written in C++11 using the Qt framework. It can read DXF and DWG files and can write DXF, PDF and SVG files. The user interface is highly customizable, and has dozens of translations.
detr
End-to-End Object Detection with Transformers
OpenCV-Practical-Exercise
OpenCV practical exercise
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
skip-ganomaly
Source code for Skip-GANomaly paper
Dense-and-low-rank-Gaussian-CRF
Репозиторий для проекта по курсу глубинного обучения
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
cracking-the-coding-interview
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
buildozer
Generic Python packager for Android and iOS
MIPP
MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX and AVX-512.
UNet-CRF-RNN
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation
spatial-transformer-tensorflow
🐝Tensorflow Implementation of Spatial Transformer Networks
tensorflow_seq2seq
Tensorflow中的Seq2Seq全家桶
segdec-net-jim2019
Surface Defect Detection with Segmentation-Decision Network on KolektorSDD
tf_unet
Generic U-Net Tensorflow implementation for image segmentation
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Deep-Learning-Approach-for-Surface-Defect-Detection
（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
mlpack
mlpack: a scalable C++ machine learning library --
dlib
A toolkit for making real world machine learning and data analysis applications in C++
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
PythonRobotics
Python sample codes for robotics algorithms.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
compare_gan
Compare GAN code.
darknet
Convolutional Neural Networks
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility