Computational Economics Course 2020 by Kenneth Judd

DeltaPy - Tabular Data Augmentation

A collection of useful .gitignore templates

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

Learn how to design large-scale systems. Prep for the system design interview.

transform multi-label classification as sentence pair task, with more training data and information

Spark学习笔记

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A simple implement of the paper of EDA for Chinese.中文语料的数据增强工具。NLP数据增强。

《Designing Data-Intensive Application》DDIA中文翻译

中文近义词工具包

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

A toolkit for extracting comprehensible rules from tree-based algorithms

wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译

📄 🇨🇳 📃 论文阅读笔记（分布式，虚拟化，容器，机器学习）

A Python package to process Pandas Dataframe using multi-processing

Keras implementation of BERT with pre-trained weights

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

tensorflow实战练习，包括强化学习、推荐系统、nlp等

📚 Computer Science Learning Notes

recommendation system with Youtube Deep Net

Some interesting TensorFlow tutorials for beginners.

Tensorflow implementation of DeepFM for CTR prediction.

《统计学习方法》笔记-基于Python算法实现

Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Apache Flink官方文档中文翻译计划