BUPTGuo's repositories
CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
deltapy
DeltaPy - Tabular Data Augmentation
gitignore
A collection of useful .gitignore templates
NLP-Project
including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc
system-design-and-architecture
Learn how to design large-scale systems. Prep for the system design interview.
multi-label_classification
transform multi-label classification as sentence pair task, with more training data and information
Spark-
Spark学习笔记
DeepLearningWithTF2.0
Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book
handson-ml2
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.
EDA_NLP_for_Chinese
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。
ddia
《Designing Data-Intensive Application》DDIA中文翻译
Synonyms
中文近义词工具包
dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
Rule_Extraction_from_Trees
A toolkit for extracting comprehensible rules from tree-based algorithms
wtfpython-cn
wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译
papers-notebook
:page_facing_up: :cn: :page_with_curl: 论文阅读笔记（分布式，虚拟化，容器，机器学习）
pandas-multiprocess
A Python package to process Pandas Dataframe using multi-processing
BERT-keras
Keras implementation of BERT with pre-trained weights
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
CS-Notes
:books: Computer Science Learning Notes
YoutubeNet
recommendation system with Youtube Deep Net
Tensorflow-Tutorial
Some interesting TensorFlow tutorials for beginners.
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
ML-From-Scratch
Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.
data-science-ipython-notebooks
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, AWS, and various command lines.
Apache-Flink-Docs-ZH-translation
Apache Flink官方文档中文翻译计划