Data Science and Analytics

   ​ A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool for machine learning.​ ​ A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. Best 8 data version control tools for 2023 (Source: DagsHub) Introduction With business needs changing constantly and the …

Best 8 Data Version Control Tools for Machine Learning 2024 Read More »

   ​ Learn how Mana.bio, an AI-based drug delivery startup, creating a platform for mRNA-based therapeutics, vaccines, and gene therapy, used DagsHub to enhance their operational efficiency, reduce time for POCs and increase their confidence in experiment reproducibility.​ ​ Learn how Mana.bio, an AI-based drug delivery startup, creating a platform for mRNA-based therapeutics, vaccines, and gene …

Case Study: Mana.bio – Reproducing results & accelerating experimentation Read More »

   ​ When working with domain experts on a machine learning project, using an active learning pipeline can help save money and time. This case study goes through the steps and considerations when working with external specialists.​ ​ Historically, implementing an active learning pipeline has been something only within reach for corporations with large budgets for …

Active Learning with Domain Experts – A Case Study on Working with Dentists on Machine Learning Read More »

   ​ DagsHub provides a free remote MLflow Tracking server for experiment tracking and model registry with every repository.​ ​ DagsHub provides a free remote MLflow Tracking server for experiment tracking and model registry with every repository. DagsHub integration with MLflow MLflow, an open-source tool for managing the machine learning lifecycle, enables real-time tracking of various …

Free Remote MLflow Tracking Server with Team-base Access control Read More »

   ​ DagsHub supports DVC 3! You can now version data with DVC 3.0 and host it on our free and fully configured remote object storage or your own S3-compatible storage​ ​ We’re happy to share that DagsHub supports DVC 3! Version data with DVC 3 and host it on DagsHub’s free and fully configured remote …

Announcing DagsHub Support for DVC 3.0 Read More »

   ​ OpenAI officially announced DALL·E 3, a modern text-to-image system built natively on ChatGPT to generate artwork by simply talking to the chatbot.​ ​ OpenAI officially announced DALL·E 3, a modern text-to-image system built natively on ChatGPT to generate artwork by simply talking to the chatbot. Generated with DALL-E 3: “A vibrant yellow banana-shaped couch …

DALL-E 3: Art Generator Powered by ChatGPT Read More »

   ​ Every machine learning project starts simple – that’s a good thing. But at some point you need to promote it to production-grade. With 3 lines of code, you can get from a notebook to a central source of truth with code, data, models, and experiments which you can share with team members.​ ​ TL;DR …

3 Lines of Code: Notebook to Production-Ready Machine Learning Project Read More »

   ​ Contribute to Machine Learning and AI projects during Hacktoberfest 2023​ ​ We’re excited to share that DagsHub is partnering with Hacktoberfest to celebrate its 10th anniversary! Join us for a month-long celebration of open-source contributions to Machine Learning and AI projects. Gain hands-on experience building datasets, models, pipelines, and more! From non-code contributors to …

The Official Machine Learning and AI Platform of Hacktoberfest 2023 Read More »

   ​ Learn how to create a simple CI/CD training pipeline for your Machine Learning project using AWS SageMaker and DagsHub​ ​ Training models is a time-consuming task, often requiring multiple iterations. While building the algorithms is challenging on its own, setting up the training process requires further understanding of MLOps which is out of scope …

How to Build CI/CD Pipeline for Continuous Training with SageMaker Read More »

   ​ I speak with Jinen Setpal, ML Engineer at DagsHub about actually building, deploying, and monitoring large language model applications. We dive into evaluation methods, ways to reduce hallucinations and much more. We also answer the audience’s great questions.​ ​ In this live episode, I’m speaking with Jinen Setpal, ML Engineer at DagsHub about actually …

🔴 Building, Deploying and Monitoring Large Language Models with Jinen Setpal Read More »