Search Results for "u-boot"
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Showing 96 open source projects for "u-boot"
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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
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OpenCore Legacy Patcher
Experience macOS just like before
A Python-based project revolving around Acidanthera's OpenCorePkg and Lilu for both running and unlocking features in macOS on supported and unsupported Macs. Our project's main goal is to breathe new life into Macs no longer supported by Apple, allowing for the installation and usage of macOS Big Sur and newer on machines as old as 2007. -
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audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch
A fully featured audio diffusion library, for PyTorch. Includes models for unconditional audio generation, text-conditional audio generation, diffusion autoencoding, upsampling, and vocoding. The provided models are waveform-based, however, the U-Net (built using a-unet), DiffusionModel, diffusion method, and diffusion samplers are both generic to any dimension and highly customizable to work on other formats. Note: no pre-trained models are provided here, this library is meant for research... -
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x-unet
Implementation of a U-net complete with efficient attention
Implementation of a U-net complete with efficient attention as well as the latest research findings. For 3d (video or CT / MRI scans). -
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CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We... -
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Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior... -
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Video Diffusion - Pytorch
Implementation of Video Diffusion Models
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch. Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch. It uses a special space-time factored U-net, extending generation from 2D images to 3D videos. 14k for difficult moving mnist (converging much faster and better than NUWA) - wip. Any new developments for text-to-video synthesis will be centralized at Imagen-pytorch... -
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Pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses:... -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
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StudioGAN
StudioGAN is a Pytorch library providing implementations of networks
...-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives. Each modularized option is managed through a configuration system that works through a YAML file. -
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Network Security Toolkit (NST)
A network security analysis and monitoring toolkit Linux distribution.
Network Security Toolkit (NST) is a bootable ISO image (Live USB Flash Drive) based on Fedora 38 providing easy access to best-of-breed Open Source Network Security Applications and should run on most x86_64 systems. The main intent of developing this toolkit was to provide the security professional and network administrator with a comprehensive set of Open Source Network Security Tools. The majority of tools published in the article: Top 125 Security Tools by INSECURE.ORG are available... -
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Robolinux
MAX Privacy with Robolinux R12.12
All 3 Robolinux Desktop versions come with new login and grub boot splash screens & LibreWolf browser which has the highest privacy! LibreWolf is a fork of Firefox so you can use its data. The Legacy Bios isos only work in VM's & Non UEFI PC's. Don't miss 50% Off 12+ price only $59.95 Expires Oct 21st 2024 The 12+ Sale details Robo UNTRACKER Custom Installer FREE! Save $40 FAAST Boot Custom Installer FREE! Save $40 Backdoor security Custom Installer FREE! Save $40 12 Advanced... -
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LX Linux
A light version of Debian with minimal installed using LXDE.
LX Linux is a distro based on Debian using LXDE as DE with some customization. The installation process uses Calamares. Recommended for very old machines, like 15 years old or more. live password: live Come with some extra repositories to install 3rd part packages (optional). - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test... -
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FlickOS
Lightweight, Elegant and Sustainable Operating System
... and Flick it. Support If you are having trouble installing or have some suggestions, you can email me at dvbondoy@gmail.com. You may also join our Reddit community at r/flickos, I am always there to answer your questions. Create issues at https://github.com/dvbondoy/FlickOS/issues Download the ISO file, write it to flash-drive using Etcher and boot your computer to the USB. -
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众所周知，Windows11在安装/升级时都有一些限制。网传的方法大多是PE重新安装法，或是预览体验法（已失效），或是文件掉包法。但这些方法都比较的繁琐，容易丢失数据。 所以我做了一款软件，通过此软件您可以快速的绕过限制。 同时此软件已开源，有什么建议和错误欢迎大家指出。本软件同时可以从Windows11的22000.x版本升级到最新版本。该软件基于python3编制而成。 使用须知: 你应该满足微软官网除了TPM2.0和Secure Boot以外的条件。否则将会影响你的使用体验。有关以下内容，请浏览https://www.microsoft.com/zh-cn/windows/windows-11-specifications#table1 请提前准备好微软原版镜像，下载链接：https://www.microsoft.com/zh-cn/software-download/windows11 请准备充分的时间去升级它，这可能需要几个小时。 更新内容 2.0.0(2022.11.09) v2.0.0版本终于来了。 本次更新我们采用了全新的框架和全新的打包方...
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umi-project
Just bring Linux for a better world
U M I, pronounce "ou" "ème" "aie" to an approach of "you & I" expression, is meant to be a derivative of Ubuntu, a Linux distribution. U M I is a system that wants generalist, simple and tailored to your needs. M I perhaps as "Maths Infos", "Mission Impossible", "Micro Imagination", "Museum Incarnation", ..., "Mandela Ideologie", ...,"Magne Isapèt" :), ... ; but in reality M I for "Me Inside", inside Linux, inside Debian, inside Ubuntu. This project designates all logistics associated... -
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Cisco IOS Device Manager
Cisco IOS Device Management (backup, update image, save conf, reboot)
... to the device with SCP (with built-in MD5 hash comparison check) - To change the boot target to the new image (boot system flash:/) It has got the following features: - Error handling - information and error logging to log file (Log will be appended) - information and error logging to CSV file (Log will be overwritten each run) - Transfers retry 3 times - MD5 checks after file transfers to be sure the file is transferred without problems -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
...) #Dockerhub: https://hub.docker.com/r/nelsonmaligro/edokyumento # Install using the ISO: 1. Download: https://sourceforge.net/projects/e-dokyumento/files/Releases/e-DokyuV3.iso/download 2. Boot and login with: "root" and "admin@123" 3. Create 2 partitions: SWAP and / mount 4. Login and move "/opt/drive" folder to root: "mv /opt/drive /" # Install on Ubuntu: https://sourceforge.net/projects/e-dokyumento/files/Install%20e-Dokyumento%20on%20Ubuntu%20Linux.pdf/download -
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Rescatux
Easy to use Repair distribution for both Gnu/Linux and Windows systems
... that in the chat they can help you better. O better, even, you can help debug and fix Rescatux bugs on the fly. * Share log on forum: Prepares a forum post alike text so that you can just copy and paste it in your favourite forum. Logs are nicely inserted into it with [CODE] symbols. * Boot Info Script: Run Boot Info Script option to share your computer configuration (specially boot one). -
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U-Net Fusion RFI
U-Net for RFI Detection based on @jakeret's implementation
... to this model for further experimentation, including Squeeze/Excitation layers (unimplemented.) Sum Threshold (in fusion as an expert, and in testing as a comparison) requires the use of AOFlagger by Andre Offringa. You can find this code at https://gitlab.com/aroffringa/aoflagger. This project will use the aoflagger program within the code, so you may need to ensure that any environment variables are set for aoflagger before use. cite: https://sourceforge.net/p/u-net-fusion-rfi/wiki/cite/ -
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GassistPi
Google Assistant for Single Board Computers
Google Assistant for Single Board Computers. In May of 2017, Google Released it’s AIY Projects kit. Initially not many had access to it, so that is when I started modifying the Google Assistant SDK adding AIY like features to help out the ones left without the kit. Every project requires a name and so I named it GassistPi (“G”oogle “Assist”ant on “Pi”). Fast forwarding to date, the project works not only on Pi boards but on a number of other platforms. It has some interesting custom actions... -
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nbdev template
Template for nbdev projects
Write, test, document, and distribute software packages and technical articles, all in one place, your notebook. Traditional programming environments throw away the result of your exploration in REPLs or notebooks. nbdev makes exploration an integral part of your workflow, all while promoting software engineering best practices. -
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dumb-init
A minimal init system for Linux containers
Lightweight containers have made running a single process without normal init systems like systemd or sysvinit practical. However, omitting an init system often leads to incorrect handling of processes and signals, and can result in problems such as containers that can’t be gracefully stopped, or leaking containers that should have been destroyed. dumb-init is simple to use and solves many of these problems: you can just add it to the front of any container’s command, and it will take on the... -
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Rdbtools
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
... using UTF-8 and escape non 'ASCII printable' characters with the \U notation, or non-UTF-8 parsable bytes with \x. Attempting to decode RDB data can lead to binary data corruption, this can be avoided by using the --escape raw option. Another option is to use -e base64 for Base64 encoding of binary data. -
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Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus.