6781 Open source projects that are alternatives of or similar to Epidemiology101

Read and Write

Repo for articles in my personal blog and Medium

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

P2P Markdown Blog for Beaker inspired by Medium.

The blog post about Kubeflow, including all materials

Medium clone built with Ruby on Rails

Python package for publishing Jupyter Notebooks as Medium blogposts

Switch from Medium to your own blog in a few minutes

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

Pelican plugin for blogging with Jupyter/IPython Notebooks

Medium via CLI

A repo with tutorials for algorithms from scratch

Medium stories exporter to markdown/hugo articles.

My Blog

Source code for my personal blog

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

Machine Learning and Deep Learning Resources

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Exploration of methods for coloring t-SNE.

SuperComputing 2017 Deep Learning Tutorial

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Building QA system for Stanford Question Answering Dataset

Jupyter notebooks associated with the Algorithms for Optimization textbook

Ray tutorials from Anyscale

用无后台、纯前端的单页应用来分享、呈现你的leetcode源码吧!

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Some practices about deep learning

scikit-learn wrappers for Python fastText.

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Traffic Graph Convolutional Recurrent Neural Network

nothing here, move on..

State-of-the-Art Language Modeling and Text Classification in Hindi Language

A collection of notebook to learn the Applied Predictive Modeling using Python.

A framework for blind denoising with self-supervision.

redesign blog using material design

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

An ever-evolving and opinionated dev environment for people who want to use VuePress to power their blogs.

CARTO Python package for data scientists

Exercises for the Analysis of Knowledge Graphs

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A Julia package for Gaussian Processes

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

懒人博客，前后端分离，Vue+Beego Restful api 开箱即用，部署简单，后台管理系统简洁美观。好了，我编不下去了🤣

Hodur is a domain modeling approach and collection of libraries to Clojure. By using Hodur you can define your domain model as data, parse and validate it, and then either consume your model via an API or use one of the many plugins to help you achieve mechanical results faster and in a purely functional manner.

CNN image style transfer 🎨.

Python solutions to solve practical business problems.

Crisp, minimal personal website and blog theme for Hugo

Some code examples gathered during my Month of Julia.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

exercise for nndl

Simplified implementations of deep learning related works

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

从零基础开始机器学习之旅

Tutorial on "Modern Optimization Methods in Python"

A crash course in six episodes for software developers who want to become machine learning practitioners.