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Source code for the X Recommendation Algorithm
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
Multi-Task Deep Neural Networks for Natural Language Understanding
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
An industrial deep learning framework for high-dimension sparse data
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" and of several follow-up studies.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
A library for efficient similarity search and clustering of dense vectors.
结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD
Skipgram Negative Sampling implemented in PyTorch
Implementation and experiments of graph embedding algorithms.
Exploring word2vec embeddings as a graph of nearest neighbors
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow