Supercharge ML Workflows with robust tools (plus live competition)

Thursday 28th April, 18:30-20:30 in our 112 West George Street Office. 

Details

Bring your laptop and join us as Allan Stevenson gives an interactive overview of Weights and Biases – a GitHub for ML models!

Listen, learn and participate in a short and simple competition - including the opportunity to win swag!!

(This is an in-person meetup, PLEASE only register if you can attend)

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Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions.

Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow.

Think of W&B like GitHub for machine learning models. With a few lines of code, save everything you need to debug, compare and reproduce your models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions.

Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it’s easy to get started.
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Allan Stevenson - Success ML Engineer - https://www.linkedin.com/in/alstev

Allan’s background covers a broad technology stack in infrastructure and cloud, working across a variety of roles in large enterprises. In 2020 he decided it was time for a change and completed an MSc in Maths and Data Science with Data Lab sponsorship. After a spell with Modulr Finance in Edinburgh working on time series forecasting, he moved to Weights and Biases to be the first member of the Customer Success team in EMEA.