msh855's Stars
getzep/graphiti
Build and query dynamic, temporally-aware Knowledge Graphs
hootnot/oanda-api-v20
OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!
oanda/v20-python-samples
Sample python code that uses the v20 python library
HellAmbro/Trading212API
Unofficial Trading212 API
PacktPublishing/Getting-Started-with-Forex-Trading-Using-Python
Forex Algorithmic Trading using Python, published by Packt
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
Lumiwealth/quantstats_lumi
christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
tcaravello/EABCN_2024
Slides and codes for practice sessions
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
astrogilda/tsbootstrap
tsbootstrap: generate bootstrapped time series samples in Python
tcassou/causal_impact
Python package for causal inference using Bayesian structural time-series models.
ewan-xu/pyaec
simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.
Nixtla/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
frankhan91/DeepHAM
dseconf/DSE2023
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
joneswack/conformal-predictions-from-scratch
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
gianlucamalato/collinearity
A Python libreary for removing collinearity
AutoViML/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
nlapier2/PySensemakr
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
LastAncientOne/Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
pmorissette/ffn
ffn - a financial function library for Python