hyc9527 Goto Github PK

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

annetgpgpu

A GPU (CUDA) based Artificial Neural Network library

applied-deep-learning

Applied Deep Learning Course

awesome-developer-streams

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻 Awesome Developers, Streaming

awesome-mac

 This repo is a collection of awesome Mac applications and tools for developers and designers.

bayesiantutorials

Implementing MCMC sampling from scratch in R for various Bayesian models

chatgpt-on-wechat

Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于GPT3.5 API和itchat实现

ciml

A Course in Machine Learning

community-detection

final project analysis of network data

computational-macroeconomics

Resources for undergraduate course in computational macroeconomics.

computationalphysics2

Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.

corona

Reverse engineering SARS-CoV-2

covid-sim

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.

cs416-rutgers

CS 416 Operating Systems Design at Rutgers University

data-science-workshop

NYU Shortcourse -- "Data Science and Social Science" materials

ddcrp-gibbs

Gibbs sampler for the Distance Dependent Chinese Restaurant Process

dotfiles

A collection of my personal dotfiles

dotfiles-1

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

free-programming-books

hdp

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

leeao

大李敖全集 wjm_tcy gitbook repo

lsm-hg

A latent space model of hypergrphs

machine_learning_cpp

Machine Learning C++

materials

Bonus materials, exercises, and example projects for our Python tutorials

matrix-completion

Lightweight Python library for in-memory matrix completion.

mcmc

C++ & R code for Markov Chain Monte Carlo estimation (Gibbs sampling, MH random walk, various flavors of adaptive MCMC, etc), and functions relevant to the truncated multivariate Gaussian distribution

mcmc-1

A C++ library of Markov Chain Monte Carlo (MCMC) methods

mmsbm-hg

A clustering model of hypergraphs