madquirk-hash's repositories
ATgfe
Automated Transparent Genetic Feature Engineering
autoclint
A specially designed light version of Fast AutoAugment
AutoDL2019
The 3rd place solution for AutoDL 2019.
autospeech19
3rd place solution of autospeech 2019
AutoSpeech2019
The 1st place solution for AutoSpeech 2019.
AutoSpeech2020
The 2nd place solution for AutoSpeech 2020.
barry-bonds
Probabilistic analysis of scenario in https://youtu.be/JwMfT2cZGHg
Challenges
ICDSS Advanced Data Science Team Challenges 2020-2021
cryptocurrency-analysis
Analysis and visualisation of the cryptocurrency market
CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
DecisionTree
Python Implementation of ID3
FAIRforecast
Automatic interpretable sales forecasting for R
Finance-and-Risk-Management-Algorithms
applications for risk management through computational portfolio construction methods
google-research
Google Research
HDeconometrics
Set of R functions for high-dimensional econometrics
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
ipcc_sr15_scenario_analysis
Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C
Jump-Diffusion-Calibrator
Calibration of parameters of Heston and Bates models using Markov Chain Monte Carlo (MCMC)
kaggle-two-sigma-winner
Kaggle Two Sigma 2nd Prize Winning Code https://www.kaggle.com/c/two-sigma-financial-news
kaggle_tweet
Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)
M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
monte_carlo_analysis
My experiments on Monte Carlo & Scenario Portfolio analysis
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
research_public
Quantitative research and educational materials
stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/