Composable Elixir library for LLM interactions built on Req and Finch
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- ai-providers
- elixir
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Composable Elixir library for LLM interactions built on Req and Finch
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
TranslatedAn AI avatar for real-time voice/text conversations with idols from "The iDOLM@STER Shiny Colors": original Japanese voice + Chinese subtitles, recalling the original story, memory shared across characters; supports Google/GitHub login and bring-your-own key, one-command deployment with Docker Compose (inspired by LAPLACE Eidolon)
Aixio Layer v2 recovers editable layers from flat designs where possible. 150-design benchmark vs Canva Magic Layers, Qwen-Image-Layer and GPT-6 Astra Ultra.
A Java library to use the OpenAI Api in the simplest possible way.
Official Repository of paper OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
DeepWrite AI is Made with the Help of ChatGPT3 and Specific Model is Prepared for Generating Perfect Blog Post with atmost Clarity. This is Just the Version 1.0 More Improvement Will be Implemented.
TranslatedChinese edition of an AI reference image gallery | Costumes (1,407 realistic sets / 1,320 animation sets), 1,499 face shapes, 1,439 pose line drawings and 1,439 depth maps, 843 anime-style (二次元) entries. Designed for AI painting, character design, and comic-drama storyboards, with support for Chinese search, multi-angle browsing, and image copying and downloading. Open-source static site that preserves the original sources and terms of use.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
Open standard for Provenance & Intent Contracts (PIC) in AI agents. Verify intent, provenance, and evidence before high-impact tool calls.
A PostgreSQL assistant for developers Understand, optimize, and improve your PostgreSQL database with ease.
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.