Spread the Word
If you're enjoying our tools, please share wandb with your friends! We'd love for more people to use us.
****Twitter: tweet at us, our handle is @weights_biases
****Product Hunt: a review helps other people find our product
****Reddit: a post or comment on r/MachineLearning goes a long way
Thread 1: Experiment workflows
Thread 2: ML framework
If you have a cool project or an insightful perspective you'd like to share, we love to amplify the work of our users. We can tweet about your blog post or host a post on our own blog. Please reach out at [email protected]
File an issue in our open source GitHub repo: github.com/wandb/client. We love feedback, and we try hard to implement what users are asking for.
We're so grateful to our users who have helped us improve the product and spread the word about Weights & Biases.
Who | Where | Links |
Amir Abdi | UBC, Canada | Disentanglement Challenge - the 3rd place repo 1st stage of the Disentanglement challenge of NeurIPS 2019 |
Sergey Kolesnikov | Moscow, Russia | Catalyst - a high-level PyTorch API for DL & RL research |
Sayak Paul | Kolkata, India | Generating Categories from ArXiv Paper Titles - a TensorFlow project |
Josh Tobin | San Francisco, California | FSDL - a hands on course to bridge the gap from training machine learning models to deploying AI systems in the real world (We highly recommend!) |
Whitman Bohorquez | Venezuela | DeepBay - plug-n-play deep learning models |
Boris Dayma | Houston, Texas | CycleGAN - using deep learning to turn horses into zebras |
Séb Arnold | USC, California | Cherry - an RL framework built on top of PyTorch |
Ryan Lee | Princeton, New Jersey | End to End - a blog for machine learning projects |
Róbert Csordás | IDSA, Switzerland | W&B Profile - a published paper to come soon! :) |
Peter Welinder | San Francisco | OpenAI robotics team |
