wangchengrong Goto Github PK
Type: User
wangchengrong's Projects
100daysofcode
100 days coding challange to implement Stock market technical indicators
448project
High Frequency Trading
alphafactor
因子分析工具
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
dampr
Python Data Processing library
deep-trading
Algorithmic trading with deep learning experiments
deeplearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
fin
finance
gitporjecttest
测试git命令
home_credit_default_risk_my_notebook
在Kaggle比赛中的Featuretools指南
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
introduction-to-golang
【未来服务器端编程语言】最全空降golang资料补给包（满血战斗），包含文章，书籍，作者论文，理论分析，开源框架，云原生，大佬视频，大厂实战分享ppt
jnidemo
a JNI demo from wangchongrong
lambdo
Feature engineering and machine learning: together at last!
learnjaqsbyexample
learn jaqs by example.
lstms.pth
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
machine-learning-for-finance
Machine Learning for finance and investment introduction
neural-network-with-financial-time-series-data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
pandas-technical-indicators
Technical Indicators implemented in Python using Pandas
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-glow
Pytorch Implementation of OpenAI's GLOW
pytorch-time-series-classification-benchmarks
Time Series Classification Benchmark with LSTM, VGG, ResNet
pytorch_tutorial
《Pytorch模型训练实用教程》中配套代码
qpga
Simulations of photonic quantum programmable gate arrays
rasa_nlu
turn natural language into structured data
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stock-market-price-prediction
Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilated convolutions and residual learning
ta
Technical Analysis Library in Python
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
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