Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
LeetCode
HackerRank
Codewars
Project Euler
CodeSignal
Exercism
CodeForces
Codecademy
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
Activeloop LeetCodeLeetCode is the best platform to help people practice solving coding problems and prepare for technical interviews. The main users are software engineers. LeetCode has over 1,900 questions covering many different programming concepts.
Based on our record, LeetCode seems to be a lot more popular than Activeloop. While we know about 519 links to LeetCode, we've tracked only 4 mentions of Activeloop. 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.
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 1 year ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 2 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 2 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 2 years ago
Additionally, I focused on understanding algorithms and data structures, as they form the backbone of efficient coding. I also practiced problem-solving on platforms like LeetCode and HackerRank. These exercises sharpened my analytical thinking and prepared me for technical interviews. By combining structured learning with practical experience, I was able to transition smoothly into a career in software development. - Source: dev.to / 4 days ago
Log in to LeetCode: Visit the LeetCode website (https://leetcode.com) and log in to your account. - Source: dev.to / 7 days ago
Hey, I think all of you, readers, know about leetcode- a platform for for coding interview preparation. There a lot of good problems to solve and interface is amazing. I started solving leetcode problems about a year ago, but was active only for 3-4 month. - Source: dev.to / 14 days ago
1. LeetCode Learning by doing is considered one of the most effective ways to master anything. So, if you wanna master DSA by solving DSA-oriented problems, then I can vouch that LeetCode is the best platform out there for you. For the last 400+ days, I’ve consistently solved coding problems on this platform to increase my problem-solving capability and DSA knowledge. Their website's UI, UX, and problem quality... - Source: dev.to / 15 days ago
For those who already know, this is just a reminder, but for those who don't, every week Leetcode has a special contest where a lot of developers try to solve 4 code challenges in a row at 1 hour 30 min. - Source: dev.to / about 2 months ago
DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Codewars - Achieve code mastery through challenge.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Project Euler - Project Euler is a series of challenging mathematical/computer programming problems that will...
