GitHub - Anemll/Anemll: Artificial Neural Engine Machine Learning LibraryYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - AUTOMATIC1111/stable-diffusion-webui: Stable Diffusion web UI
Detailed feature showcase with images: Original txt2img and img2img modes One click install and run script (but you still must install python and git) Outpainting Inpainting Color Sketch Prompt Matrix Stable Diffusion Upscale Attention, specify parts of text that the model should pay more attention to a man in a ((tuxedo)) - will pay more attention to tuxedo a man in a (tuxedo:1.21) - alternative
GitHub - xuebinqin/U-2-Net: The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
** (2022-Aug.-24) ** We are glad to announce that our U2-Net published in Pattern Recognition has been awarded the 2020 Pattern Recognition BEST PAPER AWARD !!! ** (2022-Aug.-17) ** Our U2-Net models are now available on PlayTorch, where you can build your own demo and run it on your Android/iOS phone. Try out this demo on and bring your ideas about U2-Net to truth in minutes! ** (2022-Jul.-5)** O
GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predictions for text classifiers or classifiers that act on tables (numpy arrays of numerical or categorical data) or images, with a package called lime (short for local interpretable model-agnostic explanations). Lime is based on the work presented in this pape
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GitHub - nami73b/machine-learning-notebooks
GitHub - easydiffusion/easydiffusion: An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated
GitHub - nousr/koi: A plug-in for Krita that enables the use of AI models for img2img generation.
GitHub - BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset: This repository provides motion datasets collected by Bandai Namco Research Inc
GitHub - elixir-nx/axon: Nx-powered Neural Networks
GitHub - elixir-nx/nx: Multi-dimensional arrays (tensors) and numerical definitions for Elixir
GitHub - accel-brain/accel-brain-code: The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encode
GitHub - deepspeedai/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
GitHub - iperov/DeepFaceLab: DeepFaceLab is the leading software for creating deepfakes.
GitHub - zaki-yama-labs/intro-aws: 東京大学の「AWSによるクラウド入門」のメモ
GitHub - ibayer/fastFM: fastFM: A Library for Factorization Machines
GitHub - oreilly-japan/ml-at-work: 電子書籍『仕事ではじめる機械学習』のサポートリポジトリです
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GitHub - yunjey/pytorch-tutorial: PyTorch Tutorial for Deep Learning Researchers
GitHub - ghmagazine/kagglebook
