A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
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A cluster computing framework for processing large-scale geospatial data
Curated list of open-source quantum software projects.
CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
High performance cache framework for iOS.
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
A modular active learning framework for Python
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Resiliency patterns for golang
Optax is a gradient processing and optimization library for JAX.
Entity Framework Plus extends your DbContext with must-haves features: Include Filter, Auditing, Caching, Query Future, Batch Delete, Batch Update, and more
Python library for implementing GraphQL servers using schema-first approach. Created with :heart: by Mirumee
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
simple neural network library in C99
🐶 React hook for making isomorphic http requests
Feature engineering and selection open-source Python library compatible with sklearn.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
A slick ORM cache with automatic granular event-driven invalidation.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Fault tolerance and resilience patterns for Go
TensorFlow for Raspberry Pi
Ruby and Rails efficient Kafka processing framework