Showing 1721-1740 of 3,069 projects
A Django library that provides improved model inheritance with automatic downcasting.
The Common Data Model (CDM) is a standard for data interoperability, providing a collection of well-defined business concepts and activities.
CodeXGLUE is a comprehensive benchmark for evaluating the performance of large language models on a variety of coding-related tasks.
Official code for a state-of-the-art score-based generative modeling approach using stochastic differential equations.
Bender is a Swift library that makes it easy to build fast neural networks on iOS using TensorFlow models with Metal under the hood.
A Python package for audio signal processing and beamforming algorithms in indoor scenarios.
A framework for evaluating large language models, focused on AI and machine learning tools.
Unofficial implementation of Palette: Image-to-Image Diffusion Models for AI-powered image generation and restoration.
Interactive machine learning experiments with model training and demos in a Jupyter Notebook.
An extremely simple tool for separating vocals and background music, completely localized for web operation.
A curated list of resources for learning about Amazon DynamoDB
An open-source text-to-image generation model that enables developers to create powerful AI-powered image generation capabilities.
A Ruby API for modeling workflow and state machines, inspired by the AASM gem.
An open-source PyTorch implementation of the VQ-VAE-2 model for generating diverse high-fidelity images.
A customizable image-to-video model based on HunyuanVideo for developers building AI-powered video applications.
Denoising Diffusion Implicit Models for AI-powered coding tools
A community-driven C++ compiler for heterogeneous programming models like SYCL, C++ parallelism, and CUDA/HIP.
NLTK Data is a collection of datasets, models, and other resources for natural language processing in Python.
Official implementation of a paper on expressive talking head generation using diffusion models.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
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