Search Results for "python data analysis" - Page 76
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Showing 4115 open source projects for "python data analysis"
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MetaHash
#MetaHash is a next-generation network based on the Blockchain 4.0
#MetaHash is a next-generation network based on the Blockchain 4.0 technology for sharing digital assets and a platform for creating and managing decentralized apps and services in real-time. The #MetaHash project implements a solution that simultaneously possesses all the qualities of Blockchain new generation, namely: - Decentralization, which ensures absolute trust of users to the network; - Full synchronization, thanks to which each user has instant access to the most relevant... -
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Sar2html is web based frontend for performance monitoring. It converts sar binary data to graphical format and keep historical data in it's database. Project homepage is here: https://github.com/cemtan/sar2html.git Supported Operating Systems: HPUX 11.11, 11.23, 11,31 Solaris 5.9, 5.10, 5.11 Redhat 3, 4, 5, 6, 7 Suse 8, 9, 10, 11, 12 Ubuntu 18, 20 If you have customers facing performance problems on operating systems listed above you may send sar2ascii to collect...
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MachineLearningStocks
Using python and scikit-learn to make stock predictions
MachineLearningStocks is a Python-based template project that demonstrates how machine learning can be applied to predicting stock market performance. The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. -
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onnxt5
Summarization, translation, sentiment-analysis, text-generation, etc.
Summarization, translation, sentiment analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in the alpha stage, therefore some functionalities such as beam searches are still in development. The simplest way to get started for generation is to use the default pre-trained version of T5 on ONNX included in the package. Please note that the first time you call get_encoder_decoder_tokenizer, the models are being downloaded which might... -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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PORORO
Platform of neural models for natural language processing
pororo performs Natural Language Processing and Speech-related tasks. It is easy to solve various subtasks in the natural language and speech processing field by simply passing the task name. Recognized speech sentences using the trained model. Currently English, Korean and Chinese support. Get vector or find similar words and entities from pretrained model using Wikipedia. -
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Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists... -
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Soma-direct
System Omnichannel Marketing Analysis
Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the purchasing process. -
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matrislib is a general data processing library, containing : - files reading/writting - data plotting - general process on signals and images. It also contain an "app" package that gives the user a full Software based on matrislib. This software is called "matris" and provide an GUI to make data processing. User guide is in written in French. Licensed under the terms of the CECILL License (see matrislib.__init__.py)
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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Tools for analysis of multiwavelength anomalous diffraction data collected on synchrotron beamlines, more specifically developed for grazing incidence diffraction on nanostructures.
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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Self-Attentive Parser
High-accuracy NLP parser with models for 11 languages
LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention. -
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py-kms
KMS Server Emulator written in Python
py-kms is a Python-based emulator of Microsoft’s Key Management Service (KMS), designed to simulate activation servers for Windows and Microsoft Office volume licensing systems. It is derived from earlier implementations and reverse-engineered protocols, allowing it to respond to activation requests from client machines. The software supports multiple versions of the KMS protocol, enabling compatibility with a wide range of Windows and Office releases. It can be deployed in various... -
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Ansible Config Management Database
Generate host overview from ansible fact gathering output
Ansible-cmdb takes the output of Ansible's fact gathering and converts it into a static HTML overview page (and other things) containing system configuration information. It supports multiple types of output (HTML, CSV, SQL, etc) and extends information gathered by Ansible with custom data. For each host, it also shows the groups, host variables, custom variables and machine-local facts. Some templates, such as txt_table and html_fancy, support columns. If a template supports columns, you... -
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...This client enables to extract and download data through a python command line Indesol project sample: http://www.indeso.web.id/indeso_wp/index.php/faq/30-6-how-to-write-and-run-the-script-to-download-indeso-met-ocean-data
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WiFiSafe
Small utility software conceived to share WiFi connections between com
Small utility software conceived to share WiFi connections between computers. As the software is intended to be used on a USB drive, the WiFi profiles (the files that store the connection information) are encrypted to avoid revealing sensitive information in case the device is lost. It will run with admin rights in order to access WiFi keys. 1)Place this program on a USB device. 2)Run it, you will be asked to set up a new password. 3)Once it is done, choose Export profiles (or... -
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Peptide Vaccine Analysis Tool (PVAT) is an optimization software that predicts the best possible peptide stretches in a given protein sequence based on two factors: 1. the surface exposure of the peptide stretches, and 2. their susceptibility to mutation.
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Vector AI
A platform for building vector based applications
Vector AI is a framework designed to make the process of building production-grade vector-based applications as quick and easily as possible. Create, store, manipulate, search and analyze vectors alongside json documents to power applications such as neural search, semantic search, personalized recommendations etc. Image2Vec, Audio2Vec, etc (Any data can be turned into vectors through machine learning). Store your vectors alongside documents without having to do a db lookup for metadata... -
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Python Tutorials
Machine Learning Tutorials
Python Tutorials is a large set of educational tutorials focused on Python and related technologies, catering especially to learners who want hands-on examples and clear explanations. Created by an experienced instructor and educator, the repository covers a wide range of programming basics and advanced topics. This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. ... -
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BudgetML
Deploy a ML inference service on a budget in 10 lines of code
Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST,... -
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ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. 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... -
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medical image analysis
Libraries and command line tools for medical image processing.
This software provides libraries and command line tools for the processing and analysis of gray scale medical images. -
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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. ...
