Search Results for "python data analysis" - Page 53
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Showing 3327 open source projects for "python data analysis"
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nonechucks
Deal with bad samples in your dataset dynamically
... an AlternateIndexSampler, and you want to be able to move to dataset[6] after dataset[4] fails while attempting to load! PyTorch's data processing module expects you to rid your dataset of any unwanted or invalid samples before you feed them into its pipeline, and provides no easy way to define a "fallback policy" in case such samples are encountered during dataset iteration. -
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MLBox
MLBox is a powerful Automated Machine Learning python library
MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make... -
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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! -
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Backuso
Backup software for your data to local and remote SSH systems
...) in your local LAN, or a server share on the internet. Backuso is configured with a simple text file. You can start the backups manually or automatically, e.g. using crontab. Backuso is based on Python 3 and uses the software rsync as its core element. Hence it runs on systems where rsync is available (Linux, FreeBSD, Apple). -
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DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types... -
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Coursebook
Introductory Systems Programming Textbook for University of Illinois
Welcome to the systems programming coursebook! This repository houses a high-quality, open-source introductory systems programming textbook used by the CS 341: System Programming course at the University of Illinois at Urbana-Champaign The book assumes that you have taken a programming language course and are familiar with assembly instructions. All of the code and instruction will be in C, as it is the de-facto language of the Linux Kernel. -
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Django Celery
Old Celery integration project for Django
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a... -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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labman2
A web database for experimental results of research
A database with a web interface for storing the experimental results of research, aimed at ease of adding new types of data. Goal is to make adding as simple as one day for an unexperienced in programming scientist to add a new type of data similar to an existing type, by preparing two - three files analogues to the existing ones. An experienced programmer should need only one day to one week for adding a totally new kind of data like arrays with more dimensions that was available before. -
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10
2D Structural Analysis
Determine the bending moments, shear forces, axial forces and displace
2D Structural Analysis in Python by Ritchie Vink A collection examples of 2D Finite Element Analysis (FEA) made with Jupyter Notebook Lab - https://jupyter.org/ To install Jupyter - https://jupyter.org/install ===== App is available on Play Store -> https://play.google.com/store/apps/details?id=com.ulm.struct If you want to download a python editor for your android smartphone follow this link -> https://play.google.com/store/apps/details?id=com.ulm.python -
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QRCode-Generator
Application for QR Code generation.
This is a minimalistic application to generate QR Code. Enter the data and easily convert the data to QR Code. -
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The Google Cloud Developer's Cheat Sheet
Cheat sheet for Google Cloud developers
..., identity and security tools, gaming, networking, data and analytics tools, database, storage, gaming tools, and many more. -
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DCGAN in TensorLayerX
The Simplest DCGAN Implementation
This is an implementation of Deep Convolutional Generative Adversarial Networks. First, download the aligned face images from google or baidu to a data folder. Please place dataset 'img_align_celeba.zip' under 'data/celebA/' by default. -
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weatherPi
An extensible weather sensor recording network, based on Raspberry Pis
A distributed network of sensors with a central data store, to record environmental data. Project goals include: * to serve as a teaching outlet for: ** sensor programming ** distributed data collecting ** web APIs ** database ** web UI for numerical data ** graphing data sensibly It also gives me some infotainment in new (to me) technologies, and as an excuse to scatter ever more Raspberry Pis around my home. -
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QMForge reads output from various quantum mechanical calculations and provides tools for analyzing these results. Specifically, population (Mulliken and C-squared), fragment, and charge decomposition analyses are available. See https://qmforge.net for more info.
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Optimized Storage for temporal Data
open Optimized Storage of time series data
Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts. -
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MCNPydE
MCNP data extraction and display software library
MCNPydE is a Python library for extracting data from MCNP output file. It requires Python, Matplotlib and Numpy. It is a data reduction tool for MCNP output for ease of results analysis and viewing. -
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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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Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
Combining improvements in deep reinforcement learning. Results and pretrained models can be found in the releases. Data-efficient Rainbow can be run using several options (note that the "unbounded" memory is implemented here in practice by manually setting the memory capacity to be the same as the maximum number of timesteps). -
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RoboSat
Semantic segmentation on aerial and satellite imagery
RoboSat is an end-to-end pipeline written in Python 3 for feature extraction from aerial and satellite imagery. Features can be anything visually distinguishable in the imagery for example: buildings, parking lots, roads, or cars. -
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DocBook Authoring and Publishing Suite
DocBook Publishing Made Easy
The DAPS project moved to https://github.com/openSUSE/daps The SUSE XSL Stylesheets have moved to https://github.com/openSUSE/suse-xsl To join the discussion, under https://github.com/openSUSE/daps/discussions -
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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... -
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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... -
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Full Stack FastAPI Couchbase
Full stack, modern web application generator
Full stack, modern web application generator. Using FastAPI, Couchbase as a database, Docker, automatic HTTPS, and more. Couchbase has a great set of features that is not easily or commonly found in alternatives. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, or whatever you want, and just test... -
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pyDaSSQLiteMan
An easy way to manage SQLite databases and query CSV files
Welcome to the project page for pyDaSSQLiteMan (Python Data and SQLite Manager). This application is a Python Tkinter application designed to enable easy SQLite database file manipulation, and an easy method to run SQL styled queries on CSV files. If you're not downloading the pre-compiled executable you will need Python to run this app. You can download it from http://www.python.org/ . I'd recommend something after version 3. Testing has been Windows based. SQLite is a free database...
