Stars
The first open Federated Learning framework implemented in C++ and Python.
Blazing fast, composable, Pythonic quantile filters.
This is the implementation for "Synthetic Single-Cell RNA-Sequencing Data from Small Pilot Studies using Deep Generative Models".
Accounting for hidden confounders in estimates of dose-response curves from observational data.
Analyzing ranked/ordinal preference data.
Learning Hawkes Processes from a Handful of Events
Cellular Automata GPU Renderer using the Vulkan API
A developers guide to HIPAA compliance and application development.
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Julia implementation of Parquet columnar file format reader
Symbolic programming for the next generation of numerical software
FoundationDB - the open source, distributed, transactional key-value store
Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.
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.
Repository includes SDK and code examples. More info https://polar.com/en/developers
Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
A novel point-process model to predict the course of epidemics and other saturating phenomena.