AI tools for wig
Related Tools:
Wig Store Directory
The Wig Store Directory is an AI-powered platform that helps users discover the best wig shops of 2024. It offers a comprehensive list of wig stores, including a variety of wig types such as lace front wigs, human hair wigs, synthetic wigs, and more. Users can search for specific wig styles and submit their own wig store to enhance SEO and sales. The platform is updated daily by GPT-4o, providing users with the latest information on wig stores. Additionally, the directory features a startup list for wig store developers and offers free submissions to the directory.
Hair Shop Directory
The website is an AI tool called Hair Shop Directory that helps users discover and submit hair stores. It provides a comprehensive list of various hair products such as wigs, extensions, weaves, lace closures, and more. Users can easily compare different vendors and find their favorite hair stores. The platform is free to use and offers updated hair shop lists daily. Additionally, it features an AI Hairstyle Changer tool that is currently under development.
VModel.AI
VModel.AI is an AI fashion models generator that revolutionizes on-model photography for fashion retailers. It utilizes artificial intelligence to create high-quality on-model photography without the need for elaborate photoshoots, reducing model photography costs by 90%. The tool helps diversify stores, improve E-commerce engagement, reduce returns, promote diversity and inclusion in fashion, and enhance product offerings.
Isle of Wight Children and Youth Info Bot
A bot designed to help with data enquiries and creative problem solving
AE Expression Expert
An assistant for creating and troubleshooting expressions in Adobe After Effects.
Vitron
Vitron is a unified pixel-level vision LLM designed for comprehensive understanding, generating, segmenting, and editing static images and dynamic videos. It addresses challenges in existing vision LLMs such as superficial instance-level understanding, lack of unified support for images and videos, and insufficient coverage across various vision tasks. The tool requires Python >= 3.8, Pytorch == 2.1.0, and CUDA Version >= 11.8 for installation. Users can deploy Gradio demo locally and fine-tune their models for specific tasks.
Timestamp
This repository is designed to inject backdoors into Language Model Models (LLMs) for code. The injected backdoors serve as timestamps for the training dataset of the LLMs. The code is randomly generated and includes watermark backdoors to show specific behaviors. A script automatically updates the repository with a new backdoor every month. Validating the existence of the backdoor can infer when the training dataset was collected. The backdoors are constructed in a specific format, and verifying them may require multiple tries. The repository keeps a record of backdoors injected along with associated dates.
ai-notes
Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.
cellseg_models.pytorch
cellseg-models.pytorch is a Python library built upon PyTorch for 2D cell/nuclei instance segmentation models. It provides multi-task encoder-decoder architectures and post-processing methods for segmenting cell/nuclei instances. The library offers high-level API to define segmentation models, open-source datasets for training, flexibility to modify model components, sliding window inference, multi-GPU inference, benchmarking utilities, regularization techniques, and example notebooks for training and finetuning models with different backbones.
