Search Results for "xtream-codes" - Page 2
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Showing 52 open source projects for "xtream-codes"
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RQ-Transformer
Implementation of RQ Transformer, autoregressive image generation
...You can use it by importing the HierarchicalCausalTransformer. For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for an AR model to reduce its computational costs to consider long-range interactions of codes. However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off. -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
...Currently, Task-TS from CoronaWhy primarily maintains this repository. Pull requests are welcome. Historically, this repository provided open-source benchmarks and codes for flash flood and river flow forecasting. Full transformer (SimpleTransformer in model_dict): The full original transformer with all 8 encoder and decoder blocks. Requires passing the target in at inference. -
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DSC Keybus Interface
An Arduino/esp8266/esp32 library to directly interface with DSC
This library directly interfaces Arduino, esp8266, esp32, and esp32-s2 microcontrollers to DSC PowerSeries and Classic series security systems for integration with home automation, remote control as a virtual keypad, notifications on alarm events, unlocking installer codes, and emulating DSC panels to use DSC keypads as general purpose input devices. This enables existing DSC security system installations to retain the features and reliability of a hardwired system while integrating with modern devices and software for under $5USD in components. -
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NWT - Pytorch (wip)
Implementation of NWT, audio-to-video generation, in Pytorch
...The paper proposes a new discrete latent representation named Memcodes, which can be succinctly described as a type of multi-head hard-attention to learned memory (codebook) key/values. They claim the need for less codes and smaller codebook dimensions in order to achieve better reconstructions. -
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MTBook
Machine Translation: Foundations and Models
...Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as reference material for researchers related to natural language processing, especially machine translation. This book is written in tex, and all source codes are open. This book is divided into four parts, each of which consists of several chapters. The order of the chapters refers to the time context of the development of machine translation technology, while taking into account the internal logic of the machine translation knowledge system. -
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masmt
A frame work for Multi agent system development
MaSMT is a java based multi-agent system development framework, especially designed for development of English to Sinhala machine translation system. MaSMT also capable to develop any multi-agent based system through its architecture. Reference: B. Hettige, A. S. Karunananda, G. Rzevski, Multi-agent solution for managing complexity in English to Sinhala Machine Translation, International Journal of Design & Nature and Ecodynamics, Volume 11, Issue 2, 2016, 88 – 96. B. Hettige, A. S.... -
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MMSkeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action
...It is a part of the open-mmlab project in the charge of Multimedia Laboratory, CUHK. MMSkeleton is developed on our research project ST-GCN. MMSkeleton provides a flexible framework for organizing codes and projects systematically, with the ability to extend to various tasks and scale up to complex deep models. MMSkeleton addresses to multiple tasks in human understanding. Build a custom skeleton-based dataset. Create your own applications. MMSkeleton is an OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis. -
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DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
...Unlike traditional discrete voxel grids or meshes, DeepSDF encodes shapes as continuous neural representations that can be smoothly interpolated and used for reconstruction, generation, and analysis. The repository provides complete tooling for preprocessing mesh datasets (e.g., ShapeNet), training DeepSDF models, reconstructing meshes from learned latent codes, and quantitatively evaluating results with metrics such as Chamfer Distance and Earth Mover’s Distance. -
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InfoGAN
Code for reproducing key results in the paper
...InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the generator to structure its latent space in a way where certain latent variables control meaningful, distinct factors (e.g. rotation, width, stroke thickness) in the output images. The repository includes code for experiments (e.g. on MNIST), launcher scripts, and some tests. ... -
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MatlabFunc
Matlab codes for feature learning
MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research... -
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HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets. -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
...Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn in tensorflow, and much more. Codes, theory, applications, and datasets about natural language processing, robotics, computer vision, and much more. -
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...The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z. 4. ...
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Mario Maker Bot for Twitch
Bot collects Super Mario Maker level codes automatically from chat.
Mario Maker Bot for Twitch collects Super Mario Maker level codes automatically from Twitch chat. It is a helpful tool for streamers who want to play Mario Maker levels made by viewers. Streamer can ask bot to pick one random level from the levels it has collected during the stream. Bot keeps log of levels it has collected and which it has randomly selected. Commands: ---------------- !level = If posted by streamer/master this command tells bot to pick one random level and removes it from the level list. !... -
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HYBRYD
Library written in C with Python API for IPv6 networking
...I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as possible so that you can download pieces of codes. The aim of that coding was to use primary linux commands easily codable and make an object of an IPv6 connection. Moreover, the model is full-state! -
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RuleRule
A puzzle game of rules acting upon rules. Create the desired pattern.
...Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari : RuleRule3.zip First created with NeXT Interface Builder and Objective-C files (1995, Mach OS): rulerule.gz (Creative Commons Attribution License). For some history, see http://hilgemeier.gmxhome.de/codes/rulerule.htm Unfinished Java project, running under Eclipse Luna with Windows 7 (2012, LGPL). Contains notes and design diagrams for possible future development. Doxygen-documented : RuleRule2.00_working.zip -
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Forth auf dem Kleincomputer
Source Code for eBook ISBN 978-3-907857-19-9
An dieser Stelle sind die Source Codes zu den Titeln "Forth auf dem Kleincomputer" und "Messen und Steuern mit Forth auf dem Kleincomputer" abgelegt. Der Source Code ist hier teilweise im Fileformat abgelegt, da er aus den alten Quellen durch OCR wieder rekonstruiert wurde. Zur Konvertierung in das Blockformat sind Tools vorhanden. Weitere Beiträge zu Forth sind auf der zugeordneten Webseite als PDF zum Download bereitgestellt. -
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OSCON 13:Computer Vision Tutorial
Ubuntu 12.04.2 pre-installed with OpenCV 2.4.3 and tutorial codes
This is the material given to the attendees of OSCON-13 tutorial "Beginner's Guide to Computer Vision". The ISO contains a pre-installed Ubuntu 12.04.2 with OpenCV 2.4.3 and all the tutorial codes -
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FastQR
A Fast QR code detector for arbitrarily acquired images
Applications of Quick Response (QR) codes enable rich context interaction through creation of links between physical objects and internet resources. In spite of the widespread use of this kind of barcode, applications for visually impaired people and robots are not common because existing decoders assume that the symbol is properly framed during image acquisition. This project implements a two-stage component-based approach to perform accurate detection of QR code symbols in arbitrarily acquired images. ... -
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ECOC PAK is a C++ Library for the Error Correcting Output Codes classification framework. It supports several coding and decoding strategies as well as several classifiers.
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Audivolv
Artificial intelligence evolves musical instruments played with mouse
Artificial Intelligence (AI) evolves musical instruments you play with the mouse from small blocks of Java code that operate on numbers, each block designed to keep all numbers in range -1 to 1 if they started in that range, and combinations of these evolved codes running 44100 times per second for high quality 44.1 khz audio. You can also write the Java code into its window. Uses Javassist internal compiler on the new Java code assembled by renaming variables to overlap eachother and reordering, copying, and removing blocks of code. Listen to the recorded music in files section of sourceforge or try it for yourself. ... -
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This project is devoted to the creation of an open source Error-Correcting Output Codes (ECOC) library for the Machine Learning community. The ECOC framework is a powerful tool to deal with multi-class categorization problems.
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Mainly include the codes of genetic algorithm, interative genetic algorithm, that are written in Java Applcations also included such as function optimization, simple fashion design optimization, face optimization and so on
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The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM...
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Papier-Mâché is a toolkit for building tangible user interfaces that employ computer vision, RFID tags, and/or bar-codes.
