lizhenyang's repositories
lizhenyang.github.io
blogs
Ad-papers
Papers on Computational Advertising
learning-caffe
learn coding and deep learning from caffe codes.
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
bitcoin
Bitcoin Core integration/staging tree
crfpp
CRF++: Yet Another CRF toolkit
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
gae
Implementation of Graph Auto-Encoders in TensorFlow
Gaussian-Mixture-Model
Learning Gaussian Mixture Model and Evaluation Maximum
gcn
Implementation of Graph Convolutional Networks in TensorFlow
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
homebrew-zathura
Homebrew formulae to build Zathura on Mac OS X
iml_methods_limitations
Seminar on Limitations of Interpretable Machine Learning Methods
libfm
Library for factorization machines
machine-learning
notes for https://developers.google.com/machine-learning/crash-course
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
mimic-tf
learning more about tensorflow by mimicing it.
mmdetection
Open MMLab Detection Toolbox
MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
piano_fundamentals
This is a Sphinx adaptation of Chaun C. Chang's book, "Fundamentals of Piano Practice."
RSPapers
Must-read papers on Recommender System.
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
StarSpace
Learning embeddings for classification, retrieval and ranking.
viterbi-algorithm
Demo for learning viterbi algorithm
word2vec
Automatically exported from code.google.com/p/word2vec
you-get
:arrow_double_down: Dumb downloader that scrapes the web