zhouyonglong's repositories
keras-adamw
Keras implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
benchmarks
A benchmark framework for Tensorflow
ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告CTR预估模型)
DeepCF
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
DeepGBM
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
DeepRec
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
disk.frame
Fast disk-based parallelized data manipulation framework for larger-than-RAM data
Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
former
Simple transformer implementation from scratch in pytorch.
ivPID
Python PID Controller
kotlinx-lincheck
Framework for testing concurrent data structures for correctness
lambda-opt
Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
ML-NOTE
:orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)
murmur
Pure Java implementations of Murmur hash algorithms
nebula
A high performance distributed Graph Database
NetSMF
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
OpenOCL
Open Optimal Control Library for Matlab. Model Predictive Control (MPC) and Trajectory Optimization software.
optuna
A hyperparameter optimization framework
PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
ranking-in-tensorflow
Learning to Rank in TensorFlow
RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
split
:chart_with_upwards_trend: The Rack Based A/B testing framework
Tencent2019_Finals_Rank1st
2019腾讯广告算法大赛完整代码（冠军）
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
workshops
A few exercises for use at events.
YouTokenToMe
Unsupervised text tokenizer focused on computational efficiency