yummyyummya's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
jackfrued/Python-100-Days
Python - 100天从新手到大师
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
MorvanZhou/tutorials
机器学习相关教程
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
INTERMT/Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
TingsongYu/PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
yhilpisch/py4fi
Python for Finance (O'Reilly)
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
yhilpisch/dx
DX Analytics | Financial and Derivatives Analytics with Python
systematicinvestor/SIT
Systematic Investor Toolkit
OLPS/OLPS
Online Portfolio Selection toolbox
rohanchikorde/Data-Science-books
qrmtutorial/qrm
qrm
hgeorgako/rfortraders
Quantitative Trading with R
gudbrandtandberg/CPSC540Project
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
nogilnick/pythonml
Artificial neural network classes and tools in Python and TensorFlow.
philipperemy/stock-volatility-google-trends
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
kalpishs/SMAI-stock-prediction
Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends of stock in near future. Prediction is done using Supervised Learning Methods. (SVM ,Neural network)
Shikhar1998/Stock-Market-Prediction-using-Neural-Networks-and-Genetic-Algorithm
Matlab Module for Stock Market Prediction using Simple NN
irfanICMLL/EMM-for-stock-prediction
We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.
blockchain99/stock-predict-by-RNN-LSTM
Stock prediction project using Recurrent Neural Network and LSTM
hklchung/StockPricePredictor
An S&P500 Stock Index Movement Predictor built with Machine Learning models
Bravea/Armstrong
jasonstrimpel/covshrink
Python implementation of a sample covariance matrix shrinkage experiment
BackNode/BackNode.github.io
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