Share what you've
Made With ML
Your one-stop platform to discover, learn and build all things
Sign In with GitHub
Always 100% free.
with trending and niche
added by the community.
the projects that you find interesting with
(like Spotify playlists).
page - a highly curated and auto updating collection of the best resources.
the blog posts, code, research, videos, demos, etc. that accompany the many projects.
to use as a dynamic resume and for collaboration with others.
your own and others projects for the community to discover forever.
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
Pixellib is a library for performing segmentation of images.
Build your first data warehouse with Airflow on GCP
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline?
Neural Topological SLAM for Visual Navigation
Topological representations for space that effectively leverage semantics and afford approximate geometric reasoning.
Super-BPD for Fast Image Segmentation
We propose direction-based super-BPD, an alternative to superpixel, for fast generic image segmentation, achieving state-of-the-art real-time result.
Taxi Demand Prediction NewYorkCity
Predict the number of pickups as accurately as possible for each region in a 10 -min interval.
Self-Supervised Learning -- UC Berkeley Spring 2020
Lecture on self-supervised learning from CS294-158-SP20: Deep Unsupervised Learning.
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
Next Word Prediction
Using transformers to predict next word and predict <mask> word.
Discover more projects
Share your project
Discover, build and share what you've made with ML.
Share someone else's project
Share something interesting you found that's made with ML.
Join the community
Get feedback on your projects, interview prep, and more!
Chat on Slack
If you would like daily updates on trending content and new features, follow us on
Share what you've made with ML.