Stars
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Homepage for STAT 157 at UC Berkeley
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Brief EDAs and other data projects
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Code snippets and tutorials for working with social science data in PySpark
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
tensorflow实战练习，包括强化学习、推荐系统、nlp等
VIP cheatsheets for Stanford's CS 229 Machine Learning
Ten thousand books, six million ratings
Representing Books as vectors using the Word2Vec algorithm
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.
Automatically exported from code.google.com/p/word2vec
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Sequence to Sequence Learning with Keras
A general-purpose encoder-decoder framework for Tensorflow
Generate new lyrics in the style of any artist using LSTMs and TensorFlow.
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Pedagogical example of sequence to sequence recurrent neural network with TensorFlow and TFLearn
Predicting cryptocurrency price using RNN-LSTM networks
FloydHub porting of Pytorch time-sequence-prediction example