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A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Replication of "Auto-Encoding Variational Bayes" (Kingma & Welling, 2013)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
TensorFlow code and pre-trained models for BERT
BiNE: Bipartite Network Embedding
Caffe: a fast open framework for deep learning.
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
Keras implementation for Deep Embedding Clustering (DEC)
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
Deep Clustering
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
Semi-Supervised Clustering based on HMRF-Kmeans for Paradigm based Clustering, and cleaning up the jumble.
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Official electron build of diagrams.net
A distributed graph deep learning framework.
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Automatically exported from code.google.com/p/fully-automatic-cross-association
Representation learning on large graphs using stochastic graph convolutions.
TensorFlow implemenation of GRu4Rec model
code for the paper "Improved Techniques for Training GANs"
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.