Hevy
Fitbod
Strong.app
JEFIT
MyFitnessPal
Kiwi Fitness
SHRED
Strava
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
Hevy is a free gym workout tracker & planner app for iOS and Android. Simple workout logging, insightful analytics, and a growing community of gym athletes.
HevyHevy is recommended for fitness enthusiasts who enjoy tracking detailed workout data, individuals who like to engage with a community of like-minded individuals for motivation, and anyone looking for a versatile fitness app to support various types of workout regimens.
Based on our record, NumPy seems to be a lot more popular than Hevy. While we know about 122 links to NumPy, we've tracked only 4 mentions of Hevy. 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.
Hevy | Senior Mobile Engineer | Remote | Full-time | https://hevyapp.com Weโre looking for a lead mobile/full-stack engineer to join our team. Youโll take full technical ownership of a mobile+web app used by +2 million users. Youโll architect and implement features, and lead a small team of developers. Our tech stack includes: React, React-Native, iOS, Android, Next.js, Node.js, express.js, Postgres. Learn more... - Source: Hacker News / almost 3 years ago
Hevyapp.com lol, if you log into your account you should be met with a web interface for making routines. Source: about 3 years ago
On the web interface, your can nest your workouts into folder so that they're easy to track and organize. For example if you're on a PPL 6 week meso-cycle you can create every workout for the next 6 weeks on hevy.com . But once synced to the Apple Watch the folders just become a flat list which you have to scroll through to find the right workout. Would be nice if folder structure transferred to apple watch . Source: about 4 years ago
Hey oneman_aus! No known memory issues at the moment. Would you mind reaching out to me so I can investigate the issue further? Desmond at hevyapp.com. Source: over 4 years ago
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / 11 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
Fitbod - Personalized Strength-Training powered by Machine Learning
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Strong.app - Strenght training logger.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
JEFIT - Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
OpenCV - OpenCV is the world's biggest computer vision library
