edison's starred repositories
Machine-Learning-Book
《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
causal_hmm
Python implementation for paper: "Causal Hidden Markov Model for Time Series Disease Forecasting"(CVPR 2021)
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
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。
DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
info8002-large-scale-data-systems
Lectures for INFO8002 - Large-scale Data Systems, ULiège
info8006-introduction-to-ai
Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège
twitter_corpus
The twitter sentiment corpus created by Sanders Analytics, it consists of 5513 hand-classified tweets(however, 400 tweets missing due to the scripts created by the company). Each tweet was classified with respect to one of four different topics. And a twitter account password hash file is included as well.
awesome-twitter-data
A list of Twitter datasets and related resources.
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
graph_classification
Learning from graph data using Keras
pumpkin-book
《机器学习》(西瓜书)公式详解
bilibili-helper-o
哔哩哔哩 (bilibili.com) 辅助工具,可以替换播放器、推送通知并进行一些快捷操作
CNN_sentence
CNNs for sentence classification
DeepLearningBook
This repository is used to publish source code of my deep learning book
awesome-blockchain-cn
收集所有区块链(BlockChain)技术开发相关资料,包括Fabric和Ethereum开发资料
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Keras-Project-Template
A project template to simplify building and training deep learning models using Keras.
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn