Pinned Repositories
aift
Code for Automatic Implicit Function Theorem
almond
ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion
autograd
Efficiently computes derivatives of numpy code.
Bayesian_Imputation
BsplineDensity
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Children-books-classification
cpmcmc
Repository with the code used for the paper "Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo" by Willem van den Boom, Ajay Jasra, Maria De Iorio, Alexandros Beskos and Johan G. Eriksson
Manifold-VB
Code for Manifold VB
storytelling-with-data
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Tutorial-on-VB
nducduy's Repositories
nducduy/aift
Code for Automatic Implicit Function Theorem
nducduy/autograd
Efficiently computes derivatives of numpy code.
nducduy/Bayesian_Imputation
nducduy/BsplineDensity
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
nducduy/cpmcmc
Repository with the code used for the paper "Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo" by Willem van den Boom, Ajay Jasra, Maria De Iorio, Alexandros Beskos and Johan G. Eriksson
nducduy/storytelling-with-data
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
nducduy/cs229m_notes
nducduy/DiffusionBridge
nducduy/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
nducduy/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
nducduy/InversionFree
nducduy/IQN
IQN: AN INCREMENTAL QUASI-NEWTON METHOD
nducduy/New-Q-Newton-s-method-Backtracking
Python source code for the paper
nducduy/NewQNewtonMethodBacktrackingForSystemEquations
Python code for the more direct use of New Q-Newton's method Backtracking for systems of equations
nducduy/OnlineDSGD
This repository includes source codes for debiased stochastic gradient descent algorithms for online statistical inference with high-dimensional streaming data.
nducduy/Pathfinder
nducduy/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
nducduy/precise
online covariance and precision matrix estimation
nducduy/Q-Newton-method
Source code for A new Q-Newton's method avoiding saddle points
nducduy/quasi-blow-up
nducduy/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
nducduy/RNGD
nducduy/Robustness
Robustness for Neural Networks
nducduy/rough_volatility
The pricing models and neural network representations used in part one of the paper "Empirical analysis of rough and classical stochastic volatility models to the SPX and VIX markets".
nducduy/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
nducduy/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
nducduy/Tkinter-Applications
A collection of small tkinter apps made by me
nducduy/TLHM
nducduy/unbiasedmlmc
nducduy/VBnote