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awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

darknet-yolo-segmentation

This project is based on darknet to get image segmentation

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

dien

documentclassification

douban-book

java爬虫项目

duilib

fastphotostyle

Style transfer, deep learning, feature transform

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

handwritenumber

human_matting_pytorch

im2pencil

The source code of CVPR19 'Im2Pencil: Controllable Pencil Illustration from Photographs'.

leetcode

The optimum C++ solutions for the leetcode

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

machine-learning-and-ai-in-trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

models

Models and examples built with TensorFlow

pillow

The friendly PIL fork (Python Imaging Library)

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

s2cnn

Spherical CNNs

sequencemodeltest

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

spoon-knife

This repo is for demonstration purposes only.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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.

tensorflow-101

TensorFlow Tutorials

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements