fagan2888 Goto Github PK
Type: User
Location: New York
fagan2888's Projects
dynamic-python
Python scripts to make life easier
dynamic-semiparamtric-factor-model
This Repository contains MATLAB codes for the Paper "Yield Curve Modeling and Forecasting using Semiparametric Factor Dynamics"
dynamic_basis_chaos
dynamic_dcf
Simple JSON to Excel for SEC EDGAR data to Discounted Cash Flow models
dynamic_factor_models
dynamic_programming
This is the code for "Dynamic Programming" by Siraj Raval on Youtube
dynamic_programming_lecture
Fast dynamic programming with Python
dynamicalcomponentsanalysis
Dynamical Components Analysis
dynamicmirrlees
dynamicpathplanner
Repo for project 5 in path planning course.
dynamicpoissonfactorization
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
dynamicpop
Repository for code, documentation, and package files for population dynamics package.
dynamism
dynamodbtocsv
Dump DynamoDB data into a CSV file
dynapro
dynare
This project has moved to https://git.dynare.org/Dynare/dynare
dynare-likelihood-penalty
While performing estimation in Dynare, penalize contemporaneous cross-correlation in the shocks
dynareobc
A toolkit for implementing occasionally binding constraints in Dynare.
dyncluster
dynamic Cluster algorithm
dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
dyniclick
DyniClick : open-source toolbox for stereo audio click detection, analysis, tracking and exploration
dynitag
Collaborative audio annotation tool
dypolychord
Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
e2e-model-learning
Task-based end-to-end model learning in stochastic optimization
e4008-computational-discrete-optimization
E4008 Computational Discrete Optimization
e4729-algorithm-trading
e6156-microservices-cloud-native-applications
E6156 - Topics in SW Engineering: Microservice and Cloud Applications
ead-attack
Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018
eadam-optimizer
Some improvements on Adam
eager-elk
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