Search Results for "ofn-layer-aligner" - Page 3
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Showing 187 open source projects for "ofn-layer-aligner"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Database connection pool with support for lots of languages and databases.
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cfe
Framework for producing web-based database applications
Sophisticated environment for developing web-based applications. It includes lots of handy low-level components including: 1/ mySql interface, including table creation, tables as class, query as iterator 2/ html generation 3/ multi-lingual ability 4/ html form field handling 5/ etc. On top of this is a high-level framework that allows rapid development of database apps including seach/create/display/update, user navigation between related entities and much more. Included, as a... -
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NebiOS Alternative Mirror (Official)
An Ubuntu Linux-based OS that aims to end user.
NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: https://nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! 🛡️ Privacy: NebiOS has no telemetry, no background data services, no tracking daemons, and cannot send any personal data without user action. Full policy: nebisoftware.com/legal/privacy.html === 🚀 NebiOS X out now! ⚠️ Note on Virtual Machines:... -
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Visashot
A python screenshot script for vintage test & measurement instruments
Visashot lets you capture screenshots from vintage Test & Measurement equipment like oscilloscopes and spectrum analyzers. Visashot uses the VISA abstraction layer and associated libraries to access instruments over HP-IB (GP-IB), serial, ethernet and other supported interfaces. At the moment 120+ instruments are supported. So far most are from HP/Agilent/Keysight with a few extras from LeCroy. More brands models can be supported, please consider contributing! -
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PyCAPGE
PyCAPGE - Python Classic Adventure Point and Click Game Engine
PyCAPGE (Python Classic Adventure Point and Click Game Engine) is a versatile, open-source framework designed for creating retro-style 2D graphic adventures using Python and Pygame. Inspired by the golden age of SCUMM games, it features a customizable 9-verb interface and robust inventory management. Key features include a Scene Manager supporting parallax scrolling, walk-behind masks, and depth-based character scaling. It implements intelligent Pathfinding to navigate complex... -
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DALL-E 2 - Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as the denoising network) To train DALLE-2 is a 3 step process, with the training of CLIP being the most important. ... -
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DALL-E in Pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image
...Currently only the VAE with a codebook size of 1024 is offered, with the hope that it may train a little faster than OpenAI's, which has a size of 8192. In contrast to OpenAI's VAE, it also has an extra layer of downsampling, so the image sequence length is 256 instead of 1024 (this will lead to a 16 reduction in training costs, when you do the math). -
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Keras Attention Mechanism
Attention mechanism Implementation for Keras
...We consider many 1D sequences of the same length. The task is to find the maximum of each sequence. We give the full sequence processed by the RNN layer to the attention layer. We expect the attention layer to focus on the maximum of each sequence. -
Repair-CRMAll-In-One Solution with an Online Booking portal for automating scheduling & dispatching to ditch paperwork and improve the productivity of your technicians!
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NanoDet-Plus
Lightweight anchor-free object detection model
...In NanoDet-Plus, we propose a novel label assignment strategy with a simple assign guidance module (AGM) and a dynamic soft label assigner (DSLA) to solve the optimal label assignment problem in lightweight model training. We also introduce a light feature pyramid called Ghost-PAN to enhance multi-layer feature fusion. These improvements boost previous NanoDet's detection accuracy by 7 mAP on COCO dataset. NanoDet provide multi-backend C++ demo including ncnn, OpenVINO and MNN. There is also an Android demo based on ncnn library. Supports various backends including ncnn, MNN and OpenVINO. Also provide Android demo based on ncnn inference framework. -
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ConvNeXt V2
Code release for ConvNeXt V2 model
...The V2 version introduces a fully convolutional masked autoencoder (FCMAE) framework where parts of the image are masked and the network reconstructs the missing content, marrying convolutional inductive bias with powerful pretraining. A key innovation is a new Global Response Normalization (GRN) layer added to the ConvNeXt backbone, which enhances feature competition across channels. The result is a convnet that competes strongly with transformer architectures on recognition benchmarks while being efficient and hardware-friendly. The repository provides official PyTorch implementations for multiple model sizes (Atto, Femto, Pico, up through Huge), conversion from JAX weights, code for pretraining/fine-tuning, and pretrained checkpoints. ... -
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guiscrcpy
Full fledged GUI integration for the Android screen mirroring system
A simple, pluggable, graphical user interface for the fastest Android screen mirroring software, scrcpy. guiscrcpy is a multiplatform, ready-to-use GUI layer for Android to PC screen mirroring written in the advancing programming language python3 for the most award-winning open-source android screen mirroring system. -
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ConvNeXt
Code release for ConvNeXt model
ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure makes it efficient for both pretraining and fine-tuning across a wide range of visual recognition tasks. It achieves competitive or superior results on ImageNet and downstream datasets while being easier to deploy and train than transformers. ... -
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LaMDA-pytorch
Open-source pre-training implementation of Google's LaMDA in PyTorch
Open-source pre-training implementation of Google's LaMDA research paper in PyTorch. The totally not sentient AI. This repository will cover the 2B parameter implementation of the pre-training architecture as that is likely what most can afford to train. You can review Google's latest blog post from 2022 which details LaMDA here. You can also view their previous blog post from 2021 on the model. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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Raiden Network
Raiden Network
...It comes with an easy-to-use API and is compatible with the Ethereum ERC20 token standard. Incentivized, decentralized P2P live streaming with micropayments using Raiden, introducing “Proof-of-Stream-Payment”. The Raiden Network is an infrastructure layer on top of the Ethereum Blockchain. While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless the technicalities can be abstracted away, such that developers can interface with a rather simple API to build scalable decentralized applications based on the Raiden Network. ... -
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yowsup
The WhatsApp lib
...Some of those features are not necessarily exclusive to WhatsApp and therefore it only made sense to maintain some parts as standalone projects. A running Yowsup app is a stack of several layers. A layer is a bidirectional channel that transforms the data passing through it before passing it to underlying or the above layer. -
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Ecco
Explain, analyze, and visualize NLP language models
Ecco is an interpretability tool for transformers that helps visualize and analyze how language models generate text, making model behavior more transparent. -
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FreeCAD-PCB
Import your PCB boards to FreeCAD
[ENG] Mod FreeCAD-PCB allow you to import PCB boards to FreeCAD. Scope of mod: - support for many different layers, - possible to choose colours, transparency and names for each layer, - mod allows you to import IGES models with colours, - possible to show holes/vias independent. [PL] Moduł FreeCAD-PCB pozwala na importowanie płytek PCB do programu FreeCAD. Możliwości modułu: - wsparcie dla wielu różnych warstw, - wyświetlanie otworów, przelotek niezależnie od siebie, - możliwość wyboru koloru, przeźroczystości oraz nazwy dla poszczególnych warstw, - importowanie modeli zapisanych w formacie IGS wraz z kolorami. ***** Supported software: - Eagle (*.brd) - Razen (*.rzp) - FreePCB (*.fpc) - gEDA (*.pcb) - FidoCadJ (*.fcd) - KiCad (*.kicad_pcb) - IDF v2/v3 Requirements: FreeCAD >= 0.14 Project forum: https://sourceforge.net/p/eaglepcb2freecad/forum/ -
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Transformer TTS
Implementation of a Transformer based neural network
...The repository ships with tooling to build datasets (especially LJSpeech) and create training data, plus scripts to train both the aligner and the TTS model, monitor training with TensorBoard, and resume or reset training runs. -
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MurExpo
Software to create an exhibition wall and hang artworks on it.
This application provides exhibition walls on which you can hang artworks (works by visual artists, student work, ...) in order to put them in a situation as in an exhibition hall. It's not software that uses 3D technology, but rather a layer-based device that you load and move around as you please. Once arranged, the works can be framed live on the wall and the exhibition space can be decorated with objects and characters. This tool is aimed at people who need to do artwork simulations / presentations, for example artists, gallery owners, teachers, ... Art teachers (and students themselves) can easily put artworks in situation. -
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OpenDrop
An open Apple AirDrop implementation written in Python
OpenDrop is a command-line tool that allows sharing files between devices directly over Wi-Fi. Its unique feature is that it is protocol-compatible with Apple AirDrop which allows to share files with Apple devices running iOS and macOS. Currently (and probably also for the foreseeable future), OpenDrop only supports sending to Apple devices that are discoverable by everybody as the default contacts-only mode requires Apple-signed certificates. We support contacts-only devices by using... -
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kamiFaka
kamiFaka
...Has integrated Alipay face-to-face payment, WeChat official, Payjs, Hupijiao, YunGouOS, Yipay, Mugglepay, V visa-free and other more than a dozen payment interfaces. Ordinary users support email and SMS to receive messages. Administrators support email, SMS, TG, WeChat, QQ notifications. Support 2~4 layer wholesale mode. Long card password can be exported as txt text. A variety of theme modes [list, card, grid]. Support custom background, logo, contact information, etc. Support hot backup, one-click cloud backup, one-click export backup file to local. Detachable database, compatible with Mysql, PostgreSQL and Sqlite. -
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Keras TCN
Keras Temporal Convolutional Network
...Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the maximum number of steps back in time from current sample at time T, that a filter from (block, layer, stack, TCN) can hit (effective history) + 1. The receptive field of the TCN can be calculated. Once keras-tcn is installed as a package, you can take a glimpse of what is possible to do with TCNs. ... -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
...And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models’ pre-trained weights, append a new classifier layer on top of it, and retrain the network. This is called transfer learning, and is one of the most used techniques in CV. Aside from a few tricks when performing fine-tuning (if the case), it has been shown (many times) that if training for a new task, models initialized with pre-trained weights tend to learn faster and be more accurate then training from scratch using random initialization.
