Neural network emulator for guitar amplifiers.

Core DSP library for NAM plugins

Plugin for Neural Amp Modeler

Semantic-Fleet serves as a specialized extension hub for the Semantic-Kernel ecosystem. It houses a diverse array of connectors designed to interface with lightweight language models (LLMs).

Integrate cutting-edge LLM technology quickly and easily into your apps

C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

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LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progres…

Universal LLM Deployment Engine with ML Compilation

A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.

Instruct-tune LLaMA on consumer hardware

The official Meta Llama 3 GitHub site

Official .NET port of Sqids. Generate short unique IDs from numbers.

A small .NET package to generate YouTube-like hashes from one or many numbers. Use hashids when you do not want to expose your database ids to the user.

Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.

Twitter Snowflake-alike ID generator for .Net

Wazuh - Docker containers

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Perceptual Quality Estimator for speech and audio

Large, modern dataset for speech recognition

Protection against Model Serialization Attacks

Zero-Shot Speech Editing and Text-to-Speech in the Wild

TensorRT Extension for Stable Diffusion Web UI

Containers for machine learning

FMA: A Dataset For Music Analysis

Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Unsupervised text tokenizer for Neural Network-based text generation.

A high-throughput and memory-efficient inference and serving engine for LLMs