@ultralytics released support for the KITTI dataset🎉
Last week, I integrated this dataset into the package because I believe it can be very useful for vehicle detection and autonomous driving projects.
Explore it➡️
#machinelearningprojects
Day 4
Since we can't do versioning of large data files through git, I learn how to do it with DVC
Built a DVC pipeline to try different ML models, Vectorization techniques and keep records of each data.
Check Github:
#DataScience#machinelearningprojects
As a Machine Learning Engineer in learning, always try to build with small dataset, let that be a pilot model, to show what is possible, in the world of big data, small wins can go a long way for your development.
#machinelearningprojects#AIengineer#GrowthMindset
Day 5 of #DataScience
Learned the need of Experiment Tracking in Machine Learning.
Learned experiment tracking through DVC Live and Mlflow.
(How to log metrics, parameters, artifacts etc).
Let's #CONNECT if you are interested in ML, Data Science etc..
#machinelearningprojects
Building a Full stack Website for Detecting Fake news.
Using Phyton for the Machine Learning, Next Js for the Website, Prisma and MongoDb for the Database and TailwindCss for Styling. 🚀
Who wants to see the outcome?
#WebDevelopment#machinelearningprojects
Huge breakthrough in AI/Machine Learning overnight...
600,000 parameters on (O(N)) with 84% accuracy, OR,
7,000,000,000 parameters on (O(N²)) with 84% accuracy
90% less electrical demand,
85% less processor demand,
#machinelearningprojects
An awesome curated list of MLOps tools, all in one repo.
With so many infra options out there, it’s tough to pick the right stack.
This collection helps you find the best tools for your workflow.
#MLOps#machinelearningprojects#DevOps#AI#IPL2026
🚀 QwQ is now live on Nebula Block! 🎉As the reasoning model of the Qwen series, QwQ goes beyond conventional instruction-tuned models—it thinks and reasons, delivering superior performance in complex tasks. Try it now! 🔥#Qwen#AI#machinelearningprojects