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LeetCode solutions in python with random sequence.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Representation-Learning-on-Heterogeneous-Graph
[Deprecated!] This is a data visualization project that converts historical data rankings into dynamic bar charts.
手写实现李航《统计学习方法》书中全部算法
CTR prediction model based on spark(LR, GBDT, DNN)
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
A Flexible and Powerful Parameter Server for large-scale machine learning
AI challenge deadlines with link to software baselines and evaluation results.
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
CTR prediction using FM FFM and DeepFM
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Some deep learning based recsys for open learning.
kaggle:Two Sigma Connect: Rental Listing Inquiries--top1
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
A Python Package for fast extraction of features from a set of images
A flexible, high-performance serving system for machine learning models
Wide and Deep Learning for CTR Prediction in tensorflow
👨🎓 Java Core Sprout : basic, concurrent, algorithm
A collaborative book on algorithms
Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation