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hypercontractivity

hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ib-trading-models-and-backtester

Modular trading models with Interactive Brokers and backtester in Python

ibpy

Python API for the Interactive Brokers on-line trading system.

ib_insync

Python sync/async framework for Interactive Brokers API

icml2022-fedformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

ijcai2022-tutorial-time-series

IJCAI'22 Tutorial: Robust Time Series Analysis from Theory to Applications in the AI Era

ilmanen_expected_returns

image-classification-for-trading-strategies

Image Classification for Trading Strategies - Project for Machine Learning Class

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

interactive-brokers-api

A python application used to interact with the Interactive Brokers REST API.

interesting-papers

Jari's collection of interesting papers.

iqfeed

Python - IQ DTN Feed Historical Data Download & Cache

islr-python

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

islr-python-1

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jmlr2018

The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.

juliadynamics

Website for JuliaDynamics and various resources, like notebooks, videos, etc.

jupyter

Jupyter metapackage for installation, docs and chat

kaggle

Codes for Kaggle Competitions

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-malware

Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kaggle-web-traffic

1st place solution

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.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kdd2022-tutorial-time-series

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

kdepy

Kernel Density Estimation in Python