Jiangtang

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Jiangtang Hu's repositories

Programming-SAS

personal SAS code repository

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Matrix-Computations

Code Repository for Matrix Computations(4th Edition) by G.H. Golub and C.F. Van Loan

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SESUG

papers/presentations and SAS codes for SouthEast SAS Users Group Conference (SESUG)

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Homer-networkX

Homer's Iliad: A Social Network Analysis

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jiangtang.github.com

GitHub homepage of Jiangtang Hu, jiangtanghu.com

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writing

Writing, miscellaneous.

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ALAFF

Advanced Linear Algebra: Foundations to Frontiers (ALAFF) assignments repository

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awesome-latex-drawing

Drawing Bayesian networks, graphical models and framework with LaTeX.

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blis

BLAS-like Library Instantiation Software Framework

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Deep-Learning-Pytorch

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DeepLearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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dotfiles

.files

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econ5170

Econ5170@CUHK: Computational Methods in Economics (2019 Spring)

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fall-2020

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fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

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julia

The Julia Language: A fresh approach to technical computing.

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labs

Repository for labs

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libflame

High-performance object-based library for DLA computations

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Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

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masteringmetrics

R code for Angrist & Pischke Mastering Metrics

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Named-Entity-Recognition-Models

Named entity recognition models, in Python

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neuroc

Neuroconductor Content

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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Python-Simulation

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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ResEcon703

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

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rmarkdown-book

R Markdown: The Definitive Guide (to be published soon)

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stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

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synthdid

Synthetic difference in differences

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