Basic exercises of chinese information processing
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Updated
Sep 1, 2021
Basic exercises of chinese information processing
Bayesian structure learning and classification in decomposable graphical models.
The source code repository for the FactorBase system
Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE
R package for log-multiplicative models, including association models
Simulates Chemical Reaction System of Partial-Log-Linear Model
First assignment in ׳Deep Learning for Texts and Sequences' course (using NumPy only) by Prof. Yoav Goldberg at Bar-Ilan University
Implementation of the Log-linear classifier and the MLP1 classifier from Assignment 1 in ׳Deep Learning for Texts and Sequences' course using PyTorch
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
Supervised Machine Learning algorithms for Regression in R and Python
Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)
Business Cycle Regularities in 2 countries
Chapman MSE Simulation Studies belonging to paper found here https://arxiv.org/abs/2311.01297
All of my R code from the Advanced Statistical Modelling III module at Durham University
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