Pinned Repositories
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
easy-minimal-mistakes
Slightly modified from minimal-mistakes, fine tuned style applied, easy to use, ready to go.
how-I-learn-AI-from-zero
Materials I used when I was learning AI tech.
kelonion.github.io
neural_network_with_numpy
A simple example of neural network using Numpy
Python-Practice-of-Data-Analysis-and-Mining
《Python数据分析与挖掘实战》代码部分notebook演示
kelonion's Repositories
kelonion/Python-Practice-of-Data-Analysis-and-Mining
《Python数据分析与挖掘实战》代码部分notebook演示
kelonion/neural_network_with_numpy
A simple example of neural network using Numpy
kelonion/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
kelonion/easy-minimal-mistakes
Slightly modified from minimal-mistakes, fine tuned style applied, easy to use, ready to go.
kelonion/how-I-learn-AI-from-zero
Materials I used when I was learning AI tech.
kelonion/kelonion.github.io