Stars
Literature references for “Designing Data-Intensive Applications”
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Native-Like Performance for Nearest Neighbor Search in Java Applications using Hnswlib and Java Native Access
Performant Redshift data source for Apache Spark
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton
Automatically exported from code.google.com/p/word2vec
Code for "Collaborative Autoencoders for Top-K Hierarchical Recommendations" paper
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A collection of resources for Recommender Systems (RecSys)
A List of Recommender Systems and Resources
Deep learning for recommender systems
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Variational autoencoders for collaborative filtering
Design patterns implemented in Java
Kaggle | Instacart Market Basket Analysis🥕🥉
pmgysel / caffe
Forked from BVLC/caffeRistretto: Caffe-based approximation of convolutional neural networks.
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Super Resolution for images using deep learning.