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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
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.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Distributed Task Queue (development branch)
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…
A collection of simple python mini projects to enhance your python skills
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A MNIST-like fashion product database. Benchmark 👇
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
Ready-to-run Docker images containing Jupyter applications
A library that allows you to easily mock out tests based on AWS infrastructure.
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
A real-time visualisation of the CO2 emissions of electricity consumption