t-triobox Goto Github PK

followers: 0.0 following: 3.0 repos: 322.0 gists: 0.0

Type: User

t-triobox's Projects

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hedge-fund-stock-market-analysis

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat

hedging_neural_networks

Code for the paper "Hedging with linear regressions and neural networks"

high-dim-ts-medium

Deep Learning for High-Dimensional Time Series

high-frequency-trading-model-with-ib

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

hikyuu

Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hudson-and-thames-research

Research Repo (Archive)

hyperopt-sklearn

Hyper-parameter optimization for sklearn

implied-volatility-modelling

With real market data using Black Scholes and Brentq

incubator-brpc

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.

incubator-echarts

A powerful, interactive charting and visualization library for browser

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

interactive-corporate-report

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

jsexp

Some simulation experiments in JavaScript

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-navbar

A handy navigation pane for Jupyter Notebook that follows markdown headers

kaggle_learn

Functions used in kaggle competitions: data preprocessing/feature engineering/model training etc. Many of these functions are collected from kaggle community, credits are belong to the authors :)

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kedro

A Python library that implements software engineering best-practice for data and ML pipelines.

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

lambdalite

A functional, relational database in about 250 lines of Common Lisp

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

learn-algorithmic-trading---fundamentals-of-algorithmic-trading

Learn Algorithmic Trading - Fundamentals of Algorithmic Trading, published by Packt

lightweight-charts

Financial lightweight charts built with HTML5 canvas

t-triobox Goto Github PK

t-triobox's Projects

Recommend Projects

Recommend Topics

Recommend Org