معرفی شرکت ها
Others
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
کتابخانه
توضیح خلاصه
-
The notebooks for the competition Data Science Bowl 2019.
-
datascience toolkit
-
UNDER CONSTRUCTION: A simple python library to facilitate analysis
-
Data Science Common Core
-
Data science utilities and code snippets for reuse.
-
-
-
A helper library that saves time.
-
data-science-helper de proyectos de analitica avanzada
-
Data Science Basic Functions
-
Building blocks for common data science work
-
data science related tools & helpers
-
-
-
Python library to help you to automate the data science pipeline
-
Data science project 0: A guess number game example with primitive self-testing
-
A tool for quick-starting new datascience projects, built by AYLIEN Labs.
-
Various code to aid in data science projects for tasks involving data cleaning, ETL, EDA, NLP, viz, feature engineering, feature selection, model validation, etc.
-
Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.
-
A package containing some handy and useful modules for practical data science.
-
-
-
blah
-
Tools for data science
-
Type stubs for Python machine learning libraries
-
Data Science utilities in python.
-
Various data analysis scripts, useful for command line data mining and exploration. Most scripts work on csv numeric data with some configurable separator, defaulting to , with optional header-handling.
-
-
-
This project is an ensemble of methods which are frequently used in python Data Science projects.
-
Utilities for data science projects
-
A light set of enablers based on Cloudframe's proprietary data science codebase.
-
Fundamental tools for DS
-
Quick Data Science tools.
-
Good-to-have tools for general Data Science tasks
-
Utils package for data scientist
-
Data Science package for setup data science environment in single line
-
Python Library for some data-science tasks
-
-
-
-
-
Tools for data science
-
An opinionated abstraction of doing common data science tasks without worrying about the size of your dataset.
-
Measuring data importance over ML pipelines using the Shapley value.
-
Module for running experiments on top of datascope.
-
import random.scripts, random.tools, random.ideas
-
This package provides the tools to quickly setup a scalable and readable data pipeline that can be run on different platforms.
-
Web Scraping Library
-
Scripts for managing massive amounts of Data
-
Data scrolling in the terminal
-
DataScryer - Framework to predict future performancedata.
-
Make sense of your data
-
DataSentics Lab - experimental open-source repo
-
data serialize
-
Federated server for getting, pushing, and auditing data on untrusted nodes.
-
Client for storing and auditing data. http://storj.io
-
A module for serving up python data in a stand-alone process.
-
Duke Data Service Python Tools
-
support data-service api by flask
-
-
-
Toolkit for Python-based database access.
-
Script for creating SQL files from video files
-
Dataset demographic bias metrics
-
Dataset builder for CAMELS-DE dataset
-
A dataset pipeline builder for semantic image segmentation
-
A dataset cleaner for pictures
-
Convert Dataset from one format to another format
-
Image Dataset Creator
-
Takes SeqRecordExpanded objects and creates datasets for phylogenetic software
-
Dataset creation, management and analysis tool
-
Tool to download large dataset from a list of url
-
Image dataset format benchmark
-
A package for generating Image datasets given some backgrounds and objects
-
Generate textual and conversational datasets with LLMs.
-
A package for loading data from different sources and retrieving samples.
-
Image annotation tool
-
Synthetic dataset insights.
-
Dataset Interfaces
-
data iterator for images contained in dataset files such as hdf5 or PIL readable files. Images can be contained in several files. Based on tensorflow.keras.preprocessing.image.Iterator
-
Load partitioned data from multilevel folder structure
-
-
-
Fetch, transform, and package data.
-
Manage and automatize datasets for data science projects.
-
Easy model object to work with the dataset framework
-
databricks s3 mount with assumed role
-
Fluent dataset operations, compatible with your favorite libraries
-
ORM for the dataset library
-
Dataset owners from Socrata Open Data Catalog
-
Utils for encoding and data set reading
-
HuggingFace community-driven open-source library of datasets
-
Add-ons to the huggingface `datasets`
-
databricks s3 mount with assumed role
-
A small example package
-
A small example package
-
-
-
Tool to create image datasets for machine learning problemsby scraping search engines like Google, Bing and Baidu.
-
A package to load datasets for benchmarking prescriptive analytics approaches dynamically
-
A tool to automate collecting and testing against datasets on openml.org
-
Datasets for Time series forecasting
-
('A tool to convert single or mass PDFs to datasets for', 'language analysis, including a toolbox of text and NLP pre-processing options')
-
Package for generating fake data in CSV, JSON, and XML formats. It can be used to create placeholder data for testing or demonstration purposes.
-
Data engineering tool for learning-based computer vision.
-
datasets library
-
Simple script that splits a dataset into train/test/valid folders
-
Python SDK to access the Datasets Server