Search Results for "ekho-data" - Page 80
Sort By:
Showing 3594 open source projects for "ekho-data"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
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.
-
1
GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?... -
2
API dla VAT, GUS, REGON, CEIDG, VIES
API dla: VAT, GUS, VIES oraz białej listy podatników VAT
Several different APIs (PHP, C#, JAVA, Python, e-commerce plugins) to retrieve corporate data from the Central Statistical Office (GUS) in Poland and VAT EU (VIES): https://www.nip24.pl Dla sklepów stacjonarnych, e-commerce i integratorów: •Gotowe do wykorzystania komponenty (biblioteki, wtyczki) •Interfejs API umożliwiający szybką integrację z dowolną aplikacją •Szczegółowa dokumentacja techniczna •Zarządzanie i kontrola online (konto użytkownika na portalu) •Wysokie bezpieczeństwo danych •Wysoka wydajność i dostępność •Pomoc i wsparcie techniczne •Bezpłatny w podstawowym wariancie •Sprawdzanie podmiotu w rejestrze VAT •(NEW) Weryfikacja konta bankowego kontrahenta w wykazie podatników VAT (tzw. białej liście podatników VAT) Dodatek do Excel dla osób nie będących programistami pozwalający wykorzystać wszystkie dostępne na portalu nip24.pl funkcje, więcej na: https://nip24.pl/sprawdzanie-statusu-vat-dodatek-do-excel -
3
CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
4
TradingView Chart Data Extractor
Extract price and indicator data from TradingView charts
Ensure that you zoom/pan such that the oldest date you desire is visible on TradingView before publishing the chart. Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of a security's chart, but the URL for a user-published chart. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
patchmaster
Store your synth’s patches on the computer
Up- and download patch data to/from MIDI equipment via sysex messages -
6
TGAN
Generative adversarial training for generating synthetic tabular data
We are happy to announce that our new model for synthetic data called CTGAN is open-sourced. The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. ... -
7
JSON2YOLO
Convert JSON annotations into YOLO format.
Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro. This directory contains label import/export software developed by Ultralytics LLC, and is freely available for redistribution under the GPL-3.0 license. Ultralytics is a U.S.-based particle physics and AI startup with over 6 years of expertise supporting government, academic, and business clients. We offer a wide range of vision AI services, spanning from simple expert advice up to the... -
8
Secret File
File Encryption/Decryption using password
Secret File is a free and easy to use encryption/decryption app that can encrypt nearly any kind of file format using passwords. Files can be stored as personal or sent over the internet as confidential as the data of files are securely encrypted at the binary level itself and can be decrypted at any time and anywhere. You can also use multi-level protection for more secureness. -
9
Active Learning
Framework and examples for active learning with machine learning model
...It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main experiment runner (run_experiment.py) supports a wide range of configurations, including batch sizes, dataset subsets, model selection, and data preprocessing options. It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
10
IDEA (Text Data Visualizer)
Text Data Visualizer with Django
It is hard for non-developer to visualize data. But if you use IDEA, you can visualize data easily. If you want to test Project: IDEA locally on your environment, you require mecab-ko and mecab-ko-dic. If you have some data which you want to visualize, just put it in IDEA. Then click the Visualization button! -
11
data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. -
12
automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow. -
13
MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized evaluation scripts and dictionaries. By mapping languages into a common vector space, MUSE makes it straightforward to build cross-lingual applications where resources are scarce for some languages. ... -
14
LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
15
pyfolio
Portfolio and risk analytics in Python
...Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. -
16
Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. ... -
17
django-rest-auth
This app makes it extremely easy to build Django powered SPA's
This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication-related functionality as CBV's (Class Base View) and REST (JSON). Tivix rebuilt a NATO software system to organize and coordinate rescue missions for submarines in distress across the globe. The United Nations Partner Portal (UNPP) is a web application built for a group of UN agencies to simplify their business processes and streamline collaboration... -
18
pyFileSearcher
simple searching tool for big fileservers
pyFileSearcher was designed to be lightweight, easy to use, but capable of handling a large volume of files tool. A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
19
Invenio
Invenio digital library framework
Invenio is a highly customizable open-source framework for building large-scale digital repositories and research data platforms. Developed by CERN, it is designed to manage, index, and provide access to metadata-rich content such as publications, datasets, and multimedia files. Invenio provides a modular architecture, making it suitable for libraries, archives, and research institutions. -
20
PyMOL Molecular Graphics System
PyMOL is an OpenGL based molecular visualization system
The Open-Source PyMOL repository has been moved to github: https://github.com/schrodinger/pymol-open-source We still use the pymol-users mailing list here on sourceforge. Please subscribe for community support: https://pymol.org/maillist (Note: SourceForge email newsletter and special offers are optional and can be unchecked) The PyMOL community wiki has its own home: https://pymolwiki.org/ -
21
CMD Plot Tool
Calculates and plots Colour Magnitude Diagrams from Astronomical data
...It works “out of the box” and does not require any installation of development environments, additional libraries or resetting of system paths. The tool is available as a single application/executable file, with the source code, on Sourceforge. Sample data is also bundled, to demonstrate its complete functionality to users. Other functionality within this application is the ability to convert DAOPHOT magnitude files to CSV format. -
22
Zabbix-in-Telegram
Zabbix Notifications with graphs in Telegram
Zabbix Notifications with graphs in Telegram. -
23
lazynlp
Library to scrape and clean web pages to create massive datasets
LazyNLP is a lightweight tool for collecting and curating large-scale text datasets for machine learning and NLP applications with minimal manual effort. -
24
PDF Merge and Edit
Python script to merge and edit sensitive PDF files
...Update a single page in a PDF (good for adding a signed page to a form) Insert a page into an existing PDF. Delete a page. Click on one of the buttons and a new window will pop up depending on the function. Pick your files and enter in the data. If there are no problems, a confirmation will pop up. -
25
Scalable Distributed Deep-RL
A TensorFlow implementation of Scalable Distributed Deep-RL
Scalable Agent is the open implementation of IMPALA (Importance Weighted Actor-Learner Architectures), a highly scalable distributed reinforcement learning framework developed by Google DeepMind. IMPALA introduced a new paradigm for efficiently training agents across large-scale environments by decoupling acting and learning processes. In this architecture, multiple actor processes interact with their environments in parallel to collect trajectories, which are then asynchronously sent to a...