ZapWorks
Google ARCore
Vuforia SDK
ARToolKit
AR SDK
Vuforia
8th Wall
EasyAR SDK
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
ZapWorks PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than ZapWorks. While we know about 219 links to Pandas, we've tracked only 4 mentions of ZapWorks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not affiliated, engineers I work with deploy here: https://zap.works/ for webAR. You scan a QR code and animation plays - say on pointing your phone camera at a poster on the wall. Source: over 2 years ago
I've created a few branded AR experiences for clients and I've mostly used a dedicated app like ZappWorks. Source: over 3 years ago
If you are looking for something more accessible, I haven't tested it yet, but zap.works offers this: Https://www.zappar.com/zapbox/. Source: over 3 years ago
Amidst the COVID-19 pandemic, ZapWorks launched the AR-based educational app aimed to instruct users on how to wear surgical masks properly. Technically, this app is also based on a 3D facial landmark detection method. Like the glasses try-on app, this method allows receiving information about facial features and further mask rendering. - Source: dev.to / about 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 29 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
Google ARCore - Google Augmented Reality SDK
NumPy - NumPy is the fundamental package for scientific computing with Python
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ARToolKit - The world's most widely used tracking library for augmented reality.
OpenCV - OpenCV is the world's biggest computer vision library