Nelson Zhao

zhihu. This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

paper-learning-and-notes. 该项目主要用来记录一些论文与经典书籍的阅读笔记，主要涵盖机器学习、自然语言处理以及强化学习等领域的经典论文。该项目会持续更新内容，一方面监督自己保持理论知识的沉淀，另一方面也是方便自己平时复习使用。

GNNE. Graph Neural Network Embedding

machine-learning-implementation-with-numpy. This repository contains codes which are usually used in machine learning, such as logistic regression, decision tree.

TensorFlow-Examples. TensorFlow Tutorial and Examples for beginners

intro-to-causal-inference. The notes of introduction to causal inference

GraphNeuralNetworks. Jupyter Notebook

deep-learning-coursera. Deep Learning Specialization by Andrew Ng on Coursera.

algorithms_and_data_structures. Algorithms and data structures implemented using C++

How_to_make_a_language_translator. This is the code for "How to Make a Language Translator - Intro to Deep Learning #11' by Siraj Raval on YouTube

python_basic_practice. Python

kaggle_competitions. My solutions to Kaggle Competitions

coding-exercises. Coding Exercises

fastText. Library for fast text representation and classification.

deep-learning. Repo for the Deep Learning Nanodegree Foundations program.

scikit-learn. scikit-learn: machine learning in Python

Deeplearning_Projects. 深度学习项目代码