Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
CodeSignal
HackerRank
Codility
LeetCode
Codewars
HackerEarth
iMocha
CodinGame
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 CodeSignalBased on our record, CodeSignal should be more popular than Activeloop. It has been mentiond 25 times since March 2021. 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
Platforms like HackerRank and CodeSignal host challenges that not only hone your skills but also can put you on the radar of tech companies looking for talent. - Source: dev.to / 4 months ago
Regularly engaging with problem-solving and algorithm challenges on platforms such as LeetCode, HackerRank, or CodeSignal can significantly sharpen this ability. - Source: dev.to / 4 months ago
Coding Challenges: Platforms like Project Euler or CodeSignal offer a variety of problems that encourage logical thinking and algorithmic problem-solving. - Source: dev.to / 6 months ago
Engage in remote hackathons and competitions on platforms like Devpost, CodeSignal, and Topcoder. Showcase your coding prowess and win cash prizes. - Source: dev.to / 7 months ago
The key to getting better at programming is consistent practice. Try solving problems on websites like LeetCode, HackerRank, and CodeSignal. Start with easy problems and gradually move up in difficulty. Source: about 1 year 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.
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
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.
LeetCode - Practice and level up your development skills and prepare for technical interviews.
