656 Open source projects that are alternatives of or similar to HybridBackend

📖Notes and remarks on Machine Learning related papers

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

code for Gogleva et al manuscript

Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

An OpenGL Image Processing Library (in C++/GLSL).

kNN-based next-basket recommendation

异构存储数据迁移

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

content discovery... IN 3D

A simple Music Recommendation System

Fast item-to-item recommendations on the command line.

A Julia package to perform Bifurcation Analysis

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Achieve peak performance on x86 CPUs and NVIDIA GPUs

A custom extractor designed to read parquet for Azure Data Lake Analytics

No description or website provided.

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

BriefMatch real-time GPU optical flow

Apache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.

90%+ with 40 labels. please see the readme for details.

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

Code examples for my blog posts

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Friends Recommendation and Link Prediction in Social Netowork

Sequential recommendation algorithm

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

This repository consists for gpu bootcamp material for HPC and AI

A framework for large scale recommendation algorithms.

🚀 TensorFlow running with RenderScript on Android GPU

Bayesian Personalized Ranking using PyTorch

A stream processing framework for high-throughput applications.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

GRu4Rec in TensorFlow

A python library for music recommendation

Kotlin Bigdata Toolkit

Apache Spark is a fast, in-memory data processing engine with elegant and expressive development API's to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.This project will have sample programs for Spark in Scala language .

Base container for developing C++ and Fortran HPC applications

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Scripts to build and use a container to install GPU drivers on CoreOS Container Linux

Knowledge-aware recommendation papers.

Extreme Learning Machine implemented in Pytorch

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

Julia implementation of Parquet columnar file format reader

Quake 3 map viewer in Haskell using LambdaCube 3D

WASP is a framework to build complex real time big data applications. It relies on a kind of Kappa/Lambda architecture mainly leveraging Kafka and Spark. If you need to ingest huge amount of heterogeneous data and analyze them through complex pipelines, this is the framework for you.

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Multi-order Attentive Ranking Model for Sequential Recommendation

GraphQL service for arrow tables and parquet data sets.

Rank and serve recommendations

This is a repository of public data sources for Recommender Systems (RS).

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking