A collection of AWESOME things about domian adaptation

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

Implementation of the Doubly Stochastic Neighbor Embedding on Spheres algorithm published by Yao Lu in Sep. 2016 (Source : https://arxiv.org/abs/1609.01977)

Let us control diffusion models!

Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

Implementation of our proposed algorithm in domain adaptation for image classification

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.

🦜🔗 Build context-aware reasoning applications

High-Resolution Image Synthesis with Latent Diffusion Models

A latent text-to-image diffusion model

Stable Diffusion web UI

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Code and Dataset for FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context.

Server-side script for data collection of Scene Sketches.

AI code-writing assistant that understands data content

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

A Mapbox GL flutter package for creating custom maps