Pinned Repositories
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
adanet
Fast and flexible AutoML with learning guarantees.
arpack
Distribution of ARPACK with various bug fixes
arpack-eigen
A header-only C++ redesign of ARPACK using the Eigen library
arpack-ng
Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
arpackpp
Arpack++ with patches (C++ interface to ARPACK)
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BIG-GAN
Implementation of BIG-GAN (Large Scale GAN Training for High Fidelity Natural Image Synthesis)
Dense-and-low-rank-Gaussian-CRF
Репозиторий для проекта по курсу глубинного обучения
yanshangongzi's Repositories
yanshangongzi/Dense-and-low-rank-Gaussian-CRF
Репозиторий для проекта по курсу глубинного обучения
yanshangongzi/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
yanshangongzi/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
yanshangongzi/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
yanshangongzi/buildozer
Generic Python packager for Android and iOS
yanshangongzi/compare_gan
Compare GAN code.
yanshangongzi/cracking-the-coding-interview
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
yanshangongzi/darknet
Convolutional Neural Networks
yanshangongzi/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"
yanshangongzi/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）
yanshangongzi/detr
End-to-End Object Detection with Transformers
yanshangongzi/dlib
A toolkit for making real world machine learning and data analysis applications in C++
yanshangongzi/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.
yanshangongzi/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
yanshangongzi/MIPP
MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX and AVX-512.
yanshangongzi/mlpack
mlpack: a scalable C++ machine learning library --
yanshangongzi/OpenCV-Practical-Exercise
OpenCV practical exercise
yanshangongzi/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
yanshangongzi/PythonRobotics
Python sample codes for robotics algorithms.
yanshangongzi/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
yanshangongzi/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
yanshangongzi/segdec-net-jim2019
Surface Defect Detection with Segmentation-Decision Network on KolektorSDD
yanshangongzi/skip-ganomaly
Source code for Skip-GANomaly paper
yanshangongzi/spatial-transformer-tensorflow
🐝Tensorflow Implementation of Spatial Transformer Networks
yanshangongzi/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.
yanshangongzi/Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
yanshangongzi/tensorflow_seq2seq
Tensorflow中的Seq2Seq全家桶
yanshangongzi/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
yanshangongzi/tf_unet
Generic U-Net Tensorflow implementation for image segmentation
yanshangongzi/UNet-CRF-RNN
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation