Interactive and Reactive Data Science using Scala and Spark.
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- scala
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Interactive and Reactive Data Science using Scala and Spark.
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
Distributed inference for mobile, desktop and server.
Visualize and compare datasets, target values and associations, with one line of code.
Ultra fast and low latency asynchronous socket server & client C# .NET Core library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
企业级 Node.js 应用性能监控与线上故障定位解决方案
Machine learning glossary
requery - modern SQL based query & persistence for Java / Kotlin / Android
LimboAI - Behavior Trees and State Machines for Godot 4
Simple OSINT script to find Instagram profiles by name and e-mail/phone
Declare your digital independence
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills
Istio governance material.
Awesome free machine learning and AI courses with video lectures.
🚀 fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.
Top2Vec learns jointly embedded topic, document and word vectors.
A Comprehensive List For All Music 🎶 Lovers. It's a treasure trove of music resources to enhance your listening experience and discover new music.
Quickly discover exposed hosts on the internet using multiple search engines.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
High performance memcached client for Ruby
Core Lightning — Lightning Network implementation focusing on spec compliance and performance
Shopify's first source available reference theme, with Online Store 2.0 features and performance built-in.