Search Results for "jtdx-improved" - Page 6
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Showing 179 open source projects for "jtdx-improved"
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IdleX - IDLE Extensions for Python
IDLE Extensions
A collection of extensions for Python's IDLE, the Python IDE built with the tkinter GUI toolkit. -
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HistogramsApp
Application that generates KDE-PDP plots from geochronological data
HistogramsApp is a Python 3.6 application that generates (KDE and PDP) from geochronological data .HistogramsApp allows to interactively setup plot parameters such as the bandwidth and the peak detection sensibility. To cite the application please refer to: 1) https://www.tandfonline.com/doi/abs/10.1080/00206814.2021.1954556?journalCode=tigr20 Rodriguez-Corcho, A. F., Rojas-Agramonte, Y., Barrera-Gonzalez, J. A., Marroquin-Gomez, M. P., Bonilla-Correa, S., Izquierdo-Camacho, D.,... -
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VITS
Conditional Variational Autoencoder with Adversarial Learning
VITS is a foundational research implementation of “VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech,” a well-known neural TTS architecture. Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation... -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive... -
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TypeLines
Improved replacement for Fond of Writing (FOW)
Allows a dominant to set a task for a submissive, keeping him/ner busy and under control -
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Tahafacex
It works as electronic book for keeping attendance records...
It works as electronic book for keeping attendance records using face identification\recognition technology it can mark attendance upto 100 person it can be used anywhere. MINOR CHANGE: Functionality improved MAJOR CHANGE: 1. Backup and Restore (For 1.1.0 and future versions only) 2. Export your attendance sheets in excel format of each class -
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FixRes
Reproduces results of "Fixing the train-test resolution discrepancy"
FixRes is a lightweight yet powerful training methodology for convolutional neural networks (CNNs) that addresses the common train-test resolution discrepancy problem in image classification. Developed by Facebook Research, FixRes improves model generalization by adjusting training and evaluation procedures to better align input resolutions used during different phases. The approach is simple but highly effective, requiring no architectural modifications and working across diverse CNN... -
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MToolBox
A bioinformatics pipeline to analyze mtDNA from NGS data
MToolBox is a highly automated bioinformatics pipeline to reconstruct and analyze human mitochondrial DNA from high throughput sequencing data. MToolBox includes an updated computational strategy to assemble mitochondrial genomes from Whole Exome and/or Genome Sequencing (PMID: 22669646) and an improved fragment-classify tool (PMID:22139932) for haplogroup assignment, functional and prioritization analysis of mitochondrial variants. MToolBox provides pathogenicity scores, profiles of genome variability and disease-associations for mitochondrial variants. MToolBox provides also a Variant Call Format file (version 4.0) featuring, for the first time, allele-specific heteroplasmy. ... -
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BasicSR
Winning Solution in NTIRE19 Challenges on Video Restoration
...The architecture includes bespoke modules (e.g., Pyramid, Cascading and Deformable alignment and Temporal Spatial Attention fusion) that align information across frames and emphasize important features for restoration, enabling state-of-the-art performance on benchmarks such as the REDS challenge. By fusing spatial and temporal context, EDVR produces significantly improved visual quality in restored videos compared with approaches that treat each frame independently. -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
...During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage. -
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Stable Baselines
A fork of OpenAI Baselines, implementations of reinforcement learning
Stable Baselines is a set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines. You can read a detailed presentation of Stable Baselines in the Medium article. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. -
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Think Bayes
Code repository for Think Bayes
...The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. Over time, the repository has been updated (including a second edition version) to reflect improved practices, corrections, and modern Python tooling. -
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MARVIN
The Multifaceted Automated Response Virtual Intelligence Network
MARVIN is a collection of scripts designed for intuitive automation. Check out the Wiki! MINION for Windows added: Very basic functionality Updated for 1.0: Python 3.0 support Improved install.sh script Includes ability to install chore packages -
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Budou
Budou is an auto organizer tool for beautiful line breaking in CJK
...Budou can be used via command line, in Python scripts, or integrated into web applications, and it provides advanced options such as caching and entity recognition for improved segmentation accuracy. -
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captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification... -
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RefineNet
RefineNet: Multi-Path Refinement Networks
...It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. ... -
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Improved GAN
Code for the paper "Improved Techniques for Training GANs"
Improved-GAN is the official code release from OpenAI accompanying the research paper Improved Techniques for Training GANs. It provides implementations of experiments conducted on datasets such as MNIST, SVHN, CIFAR-10, and ImageNet. The project focuses on demonstrating enhanced training methods for Generative Adversarial Networks, addressing stability and performance issues that were common in earlier GAN models. -
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Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
Tacotron-2 is a TensorFlow implementation of DeepMind’s Tacotron-2 end-to-end text-to-speech architecture, which predicts mel spectrograms from raw text and then feeds them to a neural vocoder such as WaveNet. It reproduces the original paper’s hyperparameters exactly via paper_hparams.py, while also offering a tuned hparams.py with extra improvements that often yield better audio quality in practice. The repository is structured as a full training pipeline: dataset preparation,... -
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Resume Match
A tool to match resumes with job descriptions
...For this reason, if for any reason you can't use the app, please visit the following link to use it in browser (webapp). 3. Updated versions to resolve above mentioned issues and with improved functionalities coming soon... https://pywizard.com/webapps/resumematch -
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PyTom
http://www.sciencedirect.com/science/article/pii/S1047847711003492
PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions. -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting... -
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Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API... -
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A new improved software here https https://sourceforge.net/projects/tray-software-manager/ Tray Applications Manager (Tray Manager) is a new innovative application built with the goal to save time for all people. Use an icon in notification area to manage all your needs. Using tray manager you can create your custom menu with sub-levels and launch with one click: - Open one Application - Open more applications at the same time - Open a folder - Open a file with default editor - Open one site or more at the same time and decide with which type of browser has to be opened - Open a CMD with a predefined command to execute - Define a list of applications to be opened at OS startup - Define a list of applications for which has to be created a new independent tray icon - A backup / restore functionality is available - Possibility to customize the theme of the application Youtube channel: https://www.youtube.com/channel/UCEZNZX9ZfG2SU_kAdJrCVEg/videos?...
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LeapFrog Optimizer
Open Source Optimizing Algorithm Written in Python
...Manimegalai-Sridhar, “Leapfrogging and Synoptic Leapfrogging: a new optimization approach”, Computers & Chemical Engineering, Vol. 40, 11 May 2012, pp. 67-81. - Manimegalai-Sridhar, U., A. Govindarajan, and R. R. Rhinehart, “Improved Initialization of Players in Leapfrogging Optimization”, Computers & Chemical Engineering, Vol. 60, -
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littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.
