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DrivenData brings the transformative power of data science and AI to organizations tackling our world’s greatest challenges. We find real world questions where data science can have positive social impact, then run online modeling competitions for data scientists to develop the best models to solve them.
DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
This work has spanned research on state-of-the-art transformer models tuned for specific use cases to production ready retrieval-augmented AI applications. Approaches include: LLMs, transformers, finetuning, prompt-tuning, LLM evaluation, retrieval-augmentation.
At DrivenData, we bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on. We host online challenges, usually lasting 2-3 months, where a global community of data scientists competes to come up with the best statistical model for difficult predictive ...
Used satellite imagery to identify crop extent, crop types and climate risks to agriculture in Yemen, informing World Bank development programs in the country after years of civil war. Approaches include: Deep learning, computer vision, earth observation data.
11 de abr. de 2024 · How can we use data and AI to help combat the effects of climate change? This post walks through real-world examples from DrivenData challenges working with public, private, and social sector organizations. Read More →
Microsoft and DrivenData put together a machine learning competition to build the best computer vision models for tagging species from a new trove of camera trap imagery.
Forum for participants in DrivenData's data science competitions for social good.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage. The code for the prize winners in DrivenData competitions.
Zamba is a tool built in Python that uses machine learning and computer vision to detect and classify animals in camera trap videos. You can use zamba to: Classify which species appear in a video, including identifying blank videos. Train a custom model with your own labeled data to identify species in your habitat.
