Pinned Repositories
adaptive-elastic-net
Adaptive Elastic-Net. Scikit-learn compatible.
AutoTS
Automated Time Series Forecasting
Awesome_AI4Finance
A collection of practical resources by the AI4Finance Foundation
DE4S_Model
Timeseries forecasting model capable of forecasting time-varying seasonal structures.
eodhistoricaldata
EOD Historical Data Python Library
FakeNews-Classifier
Use Machine Learning and Sentiment Analysis to classify news as real or fake! - created by madhusivaraj
fi2010
FI2010 Dataset (Personal use)
Regime-Detection-ML
Regime Detection using Hidden Markov Models and Support Vector Machines.
ta
Technical Analysis Library using Pandas and Numpy
seanahmad's Repositories
seanahmad/AutoTS
Automated Time Series Forecasting
seanahmad/aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
seanahmad/autokeras
AutoML library for deep learning
seanahmad/crypto-algo-trading
Test trading strategies using cryptocurrency price data
seanahmad/CryptoCorrelation
seanahmad/CV_XAI
Cryptocurrency Valuation: An Explainable AI Approach
seanahmad/DeepKE
An Open Toolkit for Knowledge Base Population（由浙江大学贡献的开源知识图谱抽取与构建工具）
seanahmad/DeepLearningCreditRiskModeling
Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao
seanahmad/defi-derivatives
A hopefully comprehensive guide to the defi derivative landscape
seanahmad/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
seanahmad/esovalue
Valuation of employee stock options
seanahmad/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
seanahmad/microstructure-and-liquidity
seanahmad/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
seanahmad/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.
seanahmad/Orion
A machine learning library for detecting anomalies in signals.
seanahmad/Papers
My Quant Research Papers (incl. Coding & Excel Examples)
seanahmad/pycop
Python library for multivariate dependence modelling with Copulas
seanahmad/PyStochasticVolatility
This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for computing option price under SV.
seanahmad/QuantResearch-1
Quant Research
seanahmad/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
seanahmad/rotki
A portfolio tracking, analytics, accounting and tax reporting application that protects your privacy
seanahmad/SigPro
Signal Processing Tools
seanahmad/twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
seanahmad/txtai
💡 Build AI-powered semantic search applications
seanahmad/UnifiedSKG
A Unified Framework and Analysis for Structured Knowledge Grounding
seanahmad/vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
seanahmad/voicebook
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
seanahmad/wfmr
Wells Fargo mortgage rates tracker with Github Actions
seanahmad/ydata-synthetic
Synthetic structured data generators