A Python package for Korean natural language processing.
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Deep learning framework written in Kotlin.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
A weekly news and interview show with insight from the Kubernetes community.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Build, packaging, and run system for ephemeral multi-container environments.
A lightweight framework for building LLM-based agents.
FastAPI framework to build production-grade LLM applications.
Works with speech, voice, music or other audio using machine-learning models.
All Secrets on a Single Page by Ivan Reznikov Nov, 2023 Towards AI.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Julia package for working with various human languages.
Discover the large language models examples with insights on business adoption, language model training, and influential models.
Lightweight library to build and train neural networks in Theano.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Pushing the frontier of neural imaging.
Lifelines is a complete survival analysis library, written in pure Python.
Lightly is a computer vision framework for self-supervised learning.
A tool kit for processing text using computational linguistics.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A Challenging, Contamination-Free LLM Benchmark.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.