Search Results for "python data analysis" - Page 74
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Showing 6376 open source projects for "python data analysis"
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Text Gen
Almost state of art text generation library
Almost state of art text generation library. Text gen is a python library that allow you build a custom text generation model with ease. Something sweet built with Tensorflow and Pytorch(coming soon). Load your data, your data must be in a text format. Download the example data from the example folder. Tune your model to know the best optimizer, activation method to use. -
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gym-pybullet-drones
PyBullet Gymnasium environments for multi-agent reinforcement
Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space. -
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hermes-xa-sheffield
GUI tool for visualisation, pre-processing, recalibration of XRay Data
HERMES is a graphical user interface tool, to enable visualisation, pre-processing and energy recalibration of laboratory XAS data from Rowland circle spectrometers, for import into software such as ATHENA for further analysis. Source code and documentation for Hermes can be found at: https://github.com/xasheffield/hermes HERMES is distributed under an MIT Licence. No warranty is provided against damage caused by use of this software. Coded in 2021 by Marco Seddon-Ferretti... -
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Mongoeye
Schema and data analyzer for MongoDB written in Go
MongoEye is a monitoring and analytics tool for MongoDB databases. It provides real-time performance insights, query optimization suggestions, and alerting capabilities to help database administrators improve efficiency and troubleshoot issues proactively. -
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MSGraph is a program designed for the interactive, fast, qualitative analysis of mass spectrometric (MS) data. It is a tool to provide fast and simple access to all the information contained in an LC/MS analysis run.
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ipfs-api-mount
Mount IPFS directory as local FS
Mount IPFS directory as local FS. go-ipfs daemon has this function but as of version 0.9.1 it's slow. ipfs-api-mount aims to be more efficient. For sequential access to random data it's ~3 times slower than ipfs cat but also ~20 times faster than cating files mounted by go-ipfs. It's supposed that FS mounted by go-ipfs daemon is slow because of file structure being accessed in every read. By adding caching one can improve performance a lot. Apart from mounting one specified CID you can also... -
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Semantic Segmentation in PyTorch
Semantic segmentation models, datasets & losses implemented in PyTorch
Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero... -
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aseryla
Aseryla code repositories
This project describes a model of how the semantic human memory represents the information relevant to the objects of the world in text format. It provides a system and a GUI application capable of extracting and managing concepts and relations from English texts. https://aseryla2.sourceforge.io/ -
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Keepsake
Version control for machine learning
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook. -
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LP CSIC/UAB Apps and Code
Software and Code from Laboratori de Proteòmica CSIC/UAB
Software, Code and Documents from Laboratori de Proteòmica CSIC/UAB ( LP-CSIC/UAB: http://proteomica.uab.cat ) -
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DeepImageTranslator
DeepImageTranslator: a deep-learning utility for image translation
Created by: Run Zhou Ye, En Zhou Ye, and En Hui Ye DeepImageTranslator: a free, user-friendly tool for image translation using deep-learning and its applications in CT image analysis Citation: Please cite this software as: Ye RZ, Noll C, Richard G, Lepage M, Turcotte ÉE, Carpentier AC. DeepImageTranslator: a free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis. SLAS technology. 2022 Feb 1;27(1):76-84. https... -
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pyment
Format and convert Python docstrings and generates patches
Create, update or convert docstrings in existing Python files, managing several styles. This Python3 program intends to help Python programmers to enhance inside code documentation using docstrings. It is useful for code not well documented, or code without docstrings, or some not yet or partially documented code, or a mix of all of this. It can be helpful also to harmonize or change a project docstring style format. It will parse one or several python scripts and retrieve existing docstrings... -
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Learn Julia the Hard Way
Learn Julia the hard way
... be hard-pressed to find tasks it's completely unsuitable for (although that does not mean it's the best or easiest choice for any of them). Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapidly prototype, and then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty. -
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RESTAMP
Microbial division rate and death rate estimates.
RESTAMP - Rate Estimates By Sequence Tag Analysis of Microbial Populations, is an analytical framework for estimating microbial division rates and death rates. It consists of Matlab based software for producing founder population size values from next-generation sequencing data. It also includes scripts that implements the equations that determine the rates from CFU and founder population size values. -
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Brain AutoML
Google Brain AutoML
This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations. -
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MMMISA : a free, user-friendly tool for single/dual-modality DICOM file analysis MMMISA will be included as part of version 2 of DeepImageTranslator (https://sourceforge.net/projects/deepimagetranslator/) Citation: Ye RZ et al. DeepImageTranslator V2: analysis of multimodal medical images using semantic segmentation maps generated through deep learning.biorxiv.
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flatten_json
Flatten JSON in Python
Flattens JSON objects in Python. flatten_json flattens the hierarchy in your object which can be useful if you want to force your objects into a table. -
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MutaNET
NGS Pipeline and Automated Mutation Analysis
MutaNET comes with a next generation sequencing (NGS) pipeline that calls mutations based on paired-end NGS reads, an automated mutation analysis tool and various file converters and mergers. The mutation analysis feature considers the coding region, protein domains, regulation and transcription factor binding site information, and can be used to analyse the potential impact of mutations on antibiotic resistance. -
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Free SLOC
Free SLOC counts physical lines of code (SLOC) for many languages
Free SLOC is a lightweight application for counting physical lines of code (NOT logical lines of code 'LLOC') for many format files, as Java, Python, C, C++, HTML,..., as well as comment lines, blank lines and delimiter lines. Use GUI or console mode (type -h in command line to see options). Use double-click right button in tree to open folder or see source file. Source code in Files tab (Kotlin) -
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miRDP2
Accurately and fast analyzing microRNAs transcriptome in plants
miRDeep-P2 (miRDP2) is developed to accurately and fast analyze microRNAs (miRNAs) transcriptome in plants. It is adopted from miRDeep-P (miRDP) with new strategies and overhauled algorithm. We have tested miRDP2 to analyze miRNA transcriptomes in such plants with gradually increased genome size as Arabidopsis, rice, tomato, maize and wheat. Compared with miRDeep-P and several other computational tools, miRDP2 processed NGS data with superior speed. By incorporating newly updated plant miRNA... -
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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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pydatascope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. -
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GenoCline
GenoCline is a free Java software for genetic cline analysis
... heterozygosity. MDS. Sammon projection. Geographical distances. Fst distances. Export data to Arlequin, Phylip, Past and Poptree. User-friendly input data. -
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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 can... -
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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.
