Search Results for "use" - Page 55
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Showing 3219 open source projects for "use"
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1
Sound to Text
Convert a sound file to text to analyze it
Convert a sound file to text you can analyze to spot hidden words for psychological or universal-philosophical interpretation. The program will convert a sound file to text, with the purpose of analyzing it to spot intelligible words. Use the program with songs, movie or TV dialogue, private recordings, to reveal the hidden text messages of the sound. The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. ... -
2
ACORBA
Automated approach to measure root tip angles of Arabidopsis thaliana
...However, manual analysis of images and microscopy data are known to be subjected to human bias. This is particularly the case for manual measurements of root bending as the angle is set subjectively. In this context, it is essential to develop and use automated or semi-automated image analysis to produce faster, reproducible, and unbiased data. In this context, we developped ACORBA (Automatic Calculation Of Root Bending Angles), a fully automated software to measure root bending angle over time. -
3
Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. -
4
TensorFlow Ranking
Learning to rank in TensorFlow
TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform. Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG). Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data. We envision that this library... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. ... -
6
TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
7
book
A textbook on informal homotopy type theory
The canonical Homotopy Type Theory informal textbook, initiated at the Institute for Advanced Study (2012–13) under the Univalent Foundations project. It presents the theory pedagogically without requiring technical proof assistant use. -
8
Lumi-HSP
This is an AI language model that can predict Heart failure or stroke
...HIGLIGHTS : 1. Accuracy of this model is 95% 2. This model uses the powerful Machine Learning algorithm "GradientBoosting" for predicting the outcomes. 3. An easy to use model and accessible to everyone. -
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...Free up valuable disk space by eliminating redundant copies and optimizing your storage usage. Some Antivers may show false virus alert ignore it , this tool delete files so i think thats why they think this is virus. dont use this tool on "C" drive or where you install your windows .
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10
MONITOR BINANCE LIQUIDATIONS
Real-time monitoring of futures liquidations on the Binance exchange.
✅ Requirements: WINDOWS 10 🆓 FREEWARE 🟢 REAL-TIME MONITORING OF FUTURES LIQUIDATIONS ON THE BINANCE EXCHANGE. 🟢 МОНИТОРИНГ ЛИКВИДАЦИЙ ФЬЮЧЕРСОВ НА БИРЖЕ BINANCE В РЕЖИМЕ РЕАЛЬНОГО ВРЕМЕНИ. ⚫ Use a FILTER to monitor the coins you need. Input currency pairs from one or more into the filter. To monitor several coins, in the filter field input them one by one with a comma separator. FOR EXAMPLE: BTCUSDT,ETHUSDT,CfxUSdt You can enter both uppercase and lowercase letters. ⚫ The data is saved to a file (binance_liqquidation.csv) located in the same folder as the program. ... -
11
DALL-E in Pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image
...You can also skip the training of the VAE altogether, using the pretrained model released by OpenAI! The wrapper class should take care of downloading and caching the model for you auto-magically. You can also use the pretrained VAE offered by the authors of Taming Transformers! 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). -
12
URS (Universal Reddit Scraper)
A comprehensive Reddit scraping command-line tool written in Python
Universal Reddit Scraper, a comprehensive Reddit scraping command-line tool written in Python. Whether you are using URS for enterprise or personal use, I am very interested in hearing about your use case and how it has helped you achieve a goal. This is a comprehensive Reddit scraping tool that integrates multiple features. All files except for those generated by the wordcloud tool are exported to JSON by default. Wordcloud files are exported to PNG by default. All exported files are saved within the scrapes directory and stored in a sub-directory labeled with the date. ... -
13
Simple File Organizer
A GUI tool for organizing files, based on file extension type.
1. Choose a folder to organize files in 2. Select the type of file(s) to work with The simple search method includes a set of pre-defined file types The custom search method lets you choose specific file types 3. Choose if you want to copy the files to a new folder, or move them to a new folder 4. Run -
14
SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to... -
15
EmilyEditor
General-purpose editor using subset of HTML5 as storage format
Emily is a easy-to-use WYSIWYG editor intended for general use. Emily is small in size but will be big in functionality. This version, Emily 0.9, is a "proof of concept" version. It is not intended for serious use. -
16
DBRplot
Plots reflectivity response of Distributed Braggs Reflector mirrors
A free windows software for designing and modelling of dielectric anti-reflection coating and Fabry-Perot cavity effects based on Distributed Braggs Reflector (DBR) mirrors. Read 'readme.txt' file before you use this application. Also, have a look at the "Fabry-Perot cavity" diagram to get a feel of the structure of your cavity. The code is written based on the Transfer Matrix Method for TE incidence. Clever insertion of the input parameters in the GUI will let you simulate the reflectivity response of many physical systems on a substrate such as various DBR mirror cavities and DBR mirrors. ... -
17
ChatGPT Plugins Collection
An unofficial collection of Plugins for ChatGPT
ChatGPT-Plugins-Collection is a community-driven repository that gathers examples and resources for building, testing, and experimenting with ChatGPT plugins. The collection provides a variety of plugin implementations that showcase different use cases, helping developers learn how to extend ChatGPT’s functionality. It is designed to serve both as a learning resource for beginners and a reference point for more experienced developers. By centralizing community contributions, the repository highlights practical applications of plugins across domains such as productivity, data access, and automation. ... -
18
AnnLite
A fast embedded library for approximate nearest neighbor search
...The library is easy to install and use. It is designed to be used with Python. To support search with filters, the annlite must be created with colums parameter, which is a series of fields you want to filter by. -
19
Paddle Quantum
Paddle Quantum
...It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing (QC). It has been utilized for developing several quantum machine learning applications. With the PaddlePaddle deep learning platform empowering QC, Paddle Quantum provides strong support for the scientific research community and developers in the field to easily develop QML applications. ... -
20
Stable-Dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion
...The current generation quality cannot match the results from the original paper, and many prompts still fail badly! Since the Imagen model is not publicly available, we use Stable Diffusion to replace it (implementation from diffusers). Different from Imagen, Stable-Diffusion is a latent diffusion model, which diffuses in a latent space instead of the original image space. Therefore, we need the loss to propagate back from the VAE's encoder part too, which introduces extra time costs in training. We use the multi-resolution grid encoder to implement the NeRF backbone (implementation from torch-ngp), which enables much faster rendering. -
21
pyimgui
Cython-based Python bindings for dear imgui
pyimgui is a set of Cython-based Python bindings for the popular Dear ImGui library, enabling developers to create fast and flexible graphical user interfaces in Python applications. It facilitates the integration of Dear ImGui's immediate-mode GUI paradigm into Python projects, allowing for the rapid development of tools and applications with complex user interfaces. -
22
Alphafold
Open source code for AlphaFold
...Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use a slightly simplified version of AlphaFold with this Colab notebook or community-supported versions. The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. Please make sure you have a large enough hard drive space, bandwidth and time to download. We recommend using an SSD for better genetic search performance. -
23
XLabel
XLabel: An Explainable Data Labeling Assistant
...Predict the most probable labels using Explainable Boosting Machine (EBM). Show the contributions of each feature towards the predicted labels. Provide an option to write the labels directly into the data file (use XLabel.py) or save them in a separate file (use XLabelDL.py) Support data with multiple labels and multiple classes. Support data with missing values (thanks to EBM) and/or non-numeric categorical features. -
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NOW
No-code tool for creating a neural search solution in minutes
...In this case, NOW asks for the URI to the S3 bucket, as well as the credentials and region thereof. A final step in loading your data is to choose the fields of your data that you would like to use for search and filter respectively. -
25
megawake
Remotely turn on devices connected to your home network
A Free and Open-Source program to send Wake on Lan (WoL) packets What is Wake on Lan (WoL)? Wake on Lan (WoL) is a feature that allows you to remotely turn on supported devices (such as Smart TVs, and computers) when connected to the same local network. What is a Wake on Lan (WoL) packet? It is a packet used to request a WoL order to remotely turn on a WoL supported device. More details available in: https://en.wikipedia.org/wiki/Wake-on-LAN For this program to work you have...
