stephen-fang

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

stephen-fang/pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

stephen-fang/awesome

:sunglasses: Curated list of awesome lists

stephen-fang/cola

A distributed crawling framework.

stephen-fang/COMP9321-Data-Services

stephen-fang/EnvironmentalAssessment.github.io

stephen-fang/example-code

Example code for the book Fluent Python

stephen-fang/feathers-chat

A Feathers real-time chat application

stephen-fang/flask-vue-crud

Single Page App with Flask and Vue.js

stephen-fang/gfw_whitelist

gfw_whitelist

stephen-fang/glancesautoinstall

Glances Auto Install script

stephen-fang/hugo-theme-introduction

Minimal, single page, smooth-scrolling theme for Hugo static site generator.

stephen-fang/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

stephen-fang/Line-sticker-downloader

stephen-fang/lpn

Learn Prolog Now LaTeX sources

stephen-fang/MachineLearning-python

Mahchine Leaning in Action (python)

stephen-fang/MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

stephen-fang/mergesorts

mergesort in many languages

stephen-fang/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

stephen-fang/parsa-hugo

Parsa is a personal blog theme powered by Hugo. It also can be used for portfolio website.

stephen-fang/phpagent

stephen-fang/practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

stephen-fang/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

stephen-fang/pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

stephen-fang/PyPoi

"Py"thon program for "Poi"sson Image Editing

stephen-fang/Recommender-system

Proj

stephen-fang/resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

stephen-fang/snippet-generator

Snippet generator for Visual Studio Code, Sublime Text and Atom

stephen-fang/spark

Apache Spark

stephen-fang/stephen-fang.github.io

https://fxx.me

stephen-fang/UNSW-FakeNewsDetector

Data competition repro for