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 - BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset: This repository provides motion datasets collected by Bandai Namco Research Inc
This repository provides motion datasets collected by Bandai Namco Research Inc. Find here for a README in Japanese. There is a long-standing interest in making diverse stylized motions for games and movies that pursue realistic and expressive character animation; however, creating new movements that include all the various styles of expression using existing methods is difficult. Due to this, Mot
GitHub - elixir-nx/axon: Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components: Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that ena
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
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: Accel Brain (Japanese) and Accel Brain Co., Ltd. (Japanese). The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial genera
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 - deeppomf/DeepLearningAnimePapers: A list of papers and other resources on deep learning with anime style images.
Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Sign up GitHub is where the world builds software Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world.
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GitHub - nami73b/machine-learning-notebooks
GitHub - easydiffusion/easydiffusion: Easiest 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 - elixir-nx/nx: Multi-dimensional arrays (tensors) and numerical definitions for Elixir
GitHub - microsoft/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
GitHub - mateuscardosogs/react-native-firebase-mlkit
GitHub - mercari/ml-system-design-pattern: System design patterns for machine learning
GitHub - yunjey/pytorch-tutorial: PyTorch Tutorial for Deep Learning Researchers
GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
GitHub - ghmagazine/kagglebook
