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Common reusable CI pipeline templates

https://github.com/Picovoice/rhino On-device Speech-to-Intent engine powered by deep learning

https://github.com/cohere-ai/cohere-toolkit Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

https://github.com/cilium/cilium eBPF-based Networking, Security, and Observability

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https://github.com/anyproto/anytype-heart Shared library for Anytype clients

🔧🔗https://github.com/Haidra-Org/AI-Horde-Worker

This repo turns your PC into a AI Horde worker node

https://github.com/element-hq/synapse

Synapse: Matrix homeserver written in Python/Twisted.

https://github.com/cohere-ai/magikarp This repository contains the code and extended results for the paper Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models https://arxiv.org/abs/2405.05417

🔧🔗https://github.com/HumanSignal/Adala

Adala: Autonomous DAta (Labeling) Agent framework

A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API. https://github.com/Portkey-AI/gateway

https://github.com/matrix-org/sygnal Sygnal: reference Push Gateway for Matrix

🔧🔗https://github.com/Sinaptik-AI/pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexA

New implementation of the live editor

https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications. 🔗 https://lightning.ai/docs/torchmetrics/

🔧🔗https://github.com/lmstudio-ai/mlx-engine.git Apple MLX engine for LM Studio

https://github.com/roboflow/inference A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

https://github.com/element-hq/element-x-android Android Matrix messenger application using the Matrix Rust Sdk and Jetpack Compose

🔧🔗https://github.com/PrimeIntellect-ai/prime

prime (previously called ZeroBand) is a framework for efficient, globally distributed training of AI models over the internet.