tomdyq Goto Github PK

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

agegenderdeeplearning

bilibili-wendao

Algorithm & DataSet for Machine Learning

biteduml

北京理工大学<Python机器学习应用>超详细学习笔记和代码注释(未完待续)

blog

cc5114-examples

Personal examples for the concepts of Universidad de Chile's CC3114 course: Neural Networks and Genetic Programming

chatrobot

keras+python3下的seq2seq+attention中文对话系统

course-recsys

Python与机器学习方向，《聚类与推荐算法》课程仓库

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

djangotest

djangotest1

djangotestregular

First Django Project

doc_word2vectest

这是Word2vec和Doc2vec的一个应用示例：用Word2vec计算词的相似度和用doc2vec计算句子的相似度。

document-style-guide

中文技术文档的写作规范

education

edx_student_analysis

ensemble-learner

Implementation of a spam filter using ensemble learning

ensembleselection

entitysentiment

Entity level sentiment analysis for product reviews using deep learning

event-extraction

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

experiments

Some research experiments

extending-deep-er

This project focuses on DeepER, a deep learning framework for entity resolution (record deduplication). It examines how DeepER performs on benchmark datasets under a variety of conditions and also tests a number of extensions designed to improve DeepER's accuracy.

feature_selection_gaalgorithm

基于遗传算法的特征选择