Stars
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
A collection of autonomous agents 🤖️ powered by LLM.
Framework for prototyping of LLM-based applications
Stalactite is the framework implementing the vertical federated learning paradigm.
Document parsing library that extracts structured content
A curated list of advancements in Vertical Federated Learning, frameworks and libraries.
A high-throughput and memory-efficient inference and serving engine for LLMs
Repository of a data modeling and analysis tool based on Bayesian networks
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Automated modeling and machine learning framework FEDOT
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Automatic hyperparameters tuning for topic models (ARTM approach) using evolutionary algorithms
Fast and customizable framework for automatic ML model creation (AutoML)
Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Virtual machine templates for Fedora written in legacy JSON
The Type Astronaut's Guide to Shapeless
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Mesos task load simulator framework for (cluster and Mesos) performance analysis
Diagrams describing Apache Hadoop internals (2.3.0 or later).
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.
Examples of using Akka and 0MQ in Java, separately and together.