yubobao27

yubobao27's Stars

• dolthub/dolt

  Dolt – Git for Data

  Language:Go17.7k1152.4k503

• mayooear/gpt4-pdf-chatbot-langchain

  GPT4 & LangChain Chatbot for large PDF docs

  Language:TypeScript14.8k1492953k

• bukosabino/ta

  Technical Analysis Library using Pandas and Numpy

  Language:Jupyter Notebook4.3k149215867

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k630716

• tirthajyoti/Machine-Learning-with-Python

  Practice and tutorial-style notebooks covering wide variety of machine learning techniques

  Language:Jupyter Notebook3.1k157101.8k

• jamesmawm/High-Frequency-Trading-Model-with-IB

  A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

  Language:Python2.5k24719666

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2.1k10250973

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.7k618475

• cbailes/awesome-deep-trading

  List of awesome resources for machine learning-based algorithmic trading

  1.5k740305

• parrt/random-forest-importances

  Code to compute permutation and drop-column importances in Python scikit-learn models

  Language:Jupyter Notebook5972238130

• cerlymarco/shap-hypetune

  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

  Language:Jupyter Notebook55973371

• kieranjwood/trading-momentum-transformer

  This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

  Language:Python4601815191

• ariseff/overcoming-catastrophic

  Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

  Language:Jupyter Notebook29315398

• quantrocket-codeload/quant-finance-lectures

  Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

  Language:Jupyter Notebook28890135

• QuantEcon/quantecon-notebooks-python

  A Repository of Notebooks for the Python Lecture Site

  Language:Jupyter Notebook265270184

• jaimeps/adaboost-implementation

  Implementation of AdaBoost algorithm in Python

  Language:Python1755183

• mcf-long-short/ibkr-options-volatility-trading

  Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API

  Language:Python1727333

• Finance-781/FinML

  Financial Machine Learning

  Language:Jupyter Notebook1478055

• ArturSepp/StochVolModels

  Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston

  Language:Python1293231

• daehkim/pair-trading

  CS7641 Team project

  Language:Jupyter Notebook805331

• jerryxyx/TreasuryFutureTrading

  A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change

  Language:Jupyter Notebook719035

• rickecon/Notebooks

  Jupyter notebooks authored by Richard Evans

  Language:Jupyter Notebook464142

• juanitorduz/website_projects

  Repository containing the code of the projects presented in my personal website.

  Language:Jupyter Notebook341619

• quantrocket-codeload/pairs-pipeline

  Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for cointegration using the Johansen test, then runs in-sample backtests on all cointegrating pairs, then runs an out-of-sample backtest on the 5 best performing pairs.

  Language:Jupyter Notebook343015

• karush17/Hierarchical-Attention-Reinforcement-Learning

  Hierarchical Attention in Reinforcement Learning for Stock Order Executions

  Language:Python274012

• db434/EWC

  TensorFlow v2 + Keras implementation of Elastic Weight Consolidation

  Language:Python22113

• kftam1994/Robo_Advisor

  Deep Reinforcement Learning Robot Advisor

  Language:Jupyter Notebook21137

• Minyus/scrape-pdf-financial-reports

  Language:Jupyter Notebook13401

• AIMLModeling/PCAVasicek

  The Vasicek model is a mathematical model describing the evolution of interest rates. I explained how to use principal component analysis (PCA) for the interest rate models. I demonstrated how to calibrate Vasiceck model and how to run Monte Carlo simulations for Vasicek model. https://youtu.be/TrEnSQ2Pms4

  Language:Python7102

• ashutoshtiwari13/DeepQNetwork-Hub

  Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨‍💻

  Language:Jupyter Notebook4300