zhangganjun87's repositories
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
douban-book
java爬虫项目
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.
Im2Pencil
The source code of CVPR19 'Im2Pencil: Controllable Pencil Illustration from Photographs'.
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
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
YOLO_v3_tutorial_from_scratch
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite