Activeloop
Iterative.ai
Pachyderm
Managed MLflow
DoltHub
Weights & Biases
DVC
neptune.ai
Kaggle
Colaboratory
HackerRank
Geektastic
Numerai
Explorium
DataSource.ai
Crowd AnalytiX
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 KaggleBased on our record, Kaggle seems to be a lot more popular than Activeloop. While we know about 99 links to Kaggle, 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: about 2 years ago
I'm Davit from Activeloop (activeloop.ai). Source: about 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 11 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 11 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 11 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 11 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: 12 months ago
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Colaboratory - Free Jupyter notebook environment in the cloud.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
Geektastic - Geektastic is a platform that manages peer reviewed code challenges supported by a community of qualified software engineers.