Grace.Lee's repositories
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
DeepSaliency
Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
evalsaliency
A tookbox for evaluating salient object detection algorithms
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
FinML
Financial Machine Learning
GNNPapers
Must-read papers on graph neural networks (GNN)
gs-quant
Python toolkit for quantitative finance
keras-transfer-learning-for-oxford102
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Keras_for_Image
如何用Keras做图像处理。
pcv-book-code
:book:Python计算机视觉中译本实例代码
PixelDCN
Tensorflow Implementation of Pixel Deconvolutional Networks (PixelDCN and PixelDCL)
py4fi
Python for Finance (O'Reilly)
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
SalBenchmark
Salient Object Detection: A Benchmark
Tensorflow-
Tensorflow实战学习笔记