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LAVIS is a comprehensive library for multimodal deep learning, including image captioning, visual question answering, and more.
Kornia is a Python library for geometric computer vision and spatial AI tasks.
Open-source stack for industrial-grade LLM applications, including LLM gateway, observability, optimization, evaluation, and experimentation.
Fast style transfer CNN library for applying artistic styles to images in Python
A collection of minimal and clean examples of machine learning algorithm implementations in Python.
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
Large Language Model Text Generation Inference library for developers working with AI tools and models.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.
YOLOv3 is a popular open-source object detection library for computer vision tasks, with support for multiple deployment targets.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
An optimized cloud and edge inference solution for deploying and running machine learning models.
This repository contains code examples for Stanford's TensorFlow for Deep Learning Research course.
YOLOX is a high-performance anchor-free YOLO model for object detection
Fast and accurate AI-powered file content type detection library for Python developers.
A deep learning library for text-to-speech applications, focusing on generating high-quality speech from text.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
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