- hangzhou
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Redis module for serving tensors and executing deep learning graphs
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A list of papers on Generative Adversarial (Neural) Networks
An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome mathematics resources
The basic distribution probability Tutorial for Deep Learning Researchers
Master the command line, in one page
NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
NoSQL Redis and Memcache traffic generation and benchmarking tool.
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
A collection of generative music pieces for generative.fm
Distributed reliable key-value store for the most critical data of a distributed system
Automatic extraction of relevant features from time series:
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
An industrial deep learning framework for high-dimension sparse data