Bonusly
Assembly
Kudos
Motivosity
Fond
Achievers
15Five
Officevibe
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
WEKA
Bonusly OpenCVBased on our record, OpenCV seems to be a lot more popular than Bonusly. While we know about 50 links to OpenCV, we've tracked only 4 mentions of Bonusly. 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.
Any experience with rewarding systems for recognition? Have anyone used tools like bonusly ? Source: about 2 years ago
Any recommendation on rewarding tools? Do taco, bonusly (or other similar tools) actually work? Thoughts on rewarding with 💰to incentive recognition? Source: about 2 years ago
My company instituted Bonusly and honestly its been great to have a system similar to what you are talking about. A way to give people 5-10 credits of recognition publicly so that it can add up to a $10 gift card after 10-20 "gifts" so far has been a great way to encourage each other to be helpful. Source: about 2 years ago
Bonusly is an employee recognition and rewards platform that allows you to show appreciation to your team through redeemable points and digital gift cards across hundreds of brands. Recognize new hires, birthdays, team milestones, work anniversaries, and any other celebration in your company culture through one easy-to-manage system, and automate insights on your rewards and recognition trends across the team. - Source: dev.to / almost 3 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
Assembly - Work smarter, not harder. Save 1 day/week with free customizable workflows. Get access to 40+ workflow templates such as Employee Recognition & Engagement. Simplify your day-to-day workflows, increase team productivity & add simplicity to your work.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Kudos - Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Motivosity - Peer-to-peer recognition platform that engages employees
NumPy - NumPy is the fundamental package for scientific computing with Python