Lists (8)
Stars
Quickly and securely turn any Linux box into a build and deployment assistant
Open-source tool to visualise your RAG 🔮
🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.
Superduper: End-to-end framework for building custom AI applications and agents.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
Common source, scripts and utilities for creating Triton backends.
🤖 Build voice-based LLM agents. Modular + open source.
A high-throughput and memory-efficient inference and serving engine for LLMs
Large Language Model Text Generation Inference
Generative Models by Stability AI
Python bindings for the Transformer models implemented in C/C++ using GGML library.
Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.
so-vits-svc fork with realtime support, improved interface and more features.
Learn how to design systems at scale and prepare for system design interviews
An extremely fast Python linter and code formatter, written in Rust.
The official Python client library for the Kite Connect trading APIs
Examples and guides for using the OpenAI API
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
MetaSeg: Packaged version of the Segment Anything repository
A curated list of awesome LLM agents frameworks.
Source code for Twitter's Recommendation Algorithm
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.