Overview Weights & Biases is a developer-first MLOps platform. 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. 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. Run your first experiment in 30 seconds with this quick hosted notebook: [bit.ly/intro-wb](http://wandb.me/intro) Website http://www.wandb.ai Industry Software Development Company size 51-200 employees roles. Headquarters San Francisco, California Founded 2017 Specialties deep learning, developer tools, machine learning, and MLOps The Weights & Biases platform helps you streamline your ML workflow from end to end Experiments Experiment tracking Reports Collaborative dashboards Artifacts Dataset and model versioning Tables Interactive data visualization Sweeps Hyperparameter optimization Launch Automate ML workflows Models Model lifecycle management Prompts LLMOps and prompt engineering Build better models faster with experiment tracking, dataset versioning, and model management. Track, compare, and visualize ML experiments with 5 lines of code. Free for academic and open source projects. Add W&B's lightweight integration to your existing ML code and quickly get live metrics, terminal logs, and system stats streamed to the centralized dashboard. Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones. At Weights & Biases our mission is to build the best tools for machine learning. Our experienced technical cofounders built Figure Eight, and our tools are being used by cutting-edge machine learning teams including OpenAI and Toyota. We're looking for passionate, driven people who love to learn and collaborate in an inclusive work environment. We're building a culture where people love coming to work to build cool things and collaborate with other smart people. It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful. We love to work with people who are driven, kind and proactive. We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here. We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment. Integrate quickly, track & version automatically Track, version and visualize with just 5 lines of code Reproduce any model checkpoints Monitor CPU and GPU usage in real time Visualize your data and uncover critical insights Visualize live metrics, datasets, logs, code, and system stats in a centralized location Analyze collaboratively across your team to uncover key insights Compare side-by-side to debug easily, and build iteratively Improve performance so you can evaluate and deploy with confidence Experiment collaboratively to find the best model Evaluate models, discuss bugs, and demonstrate progress Inform stakeholders with configurable reports FOR ML PRACTITIONERS The user experience that makes redundant work disappear Track every detail of your ML pipeline automatically. Visualize results with relevant context. Drag & drop analysis to uncover insights – your next best model is just a few clicks away FOR ML PRACTITIONERS The ML workflow co-designed with ML engineers Build streamlined ML workflows incrementally. Configure and customize every step. Leverage intelligent defaults so you don’t have to reinvent the wheel. FOR ML PRACTITIONERS A system of record that makes all histories reproducible and discoverable Reproduce any experiment instantly. Track model evolution with changes explained along the way. Easily discover and build on top of your team’s work.
About Weights & Biases
Weights & Biases is a developer-first MLOps platform that offers a comprehensive set of tools to streamline machine learning workflows from end to end. The platform helps ML professionals optimize, visualize, collaborate on, and standardize their model and data pipelines regardless of their framework, environment, or workflow. With Weights & Biases, ML teams can track everything they need to make their models reproducible, including hyperparameters, codes, model weights, and dataset versions.
Weights & Biases is used by some of the most innovative organizations in the world, such as OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA. The platform is designed to help ML practitioners build better models faster through experiment tracking, dataset versioning, and model management. With just five lines of code, users can track, compare, and visualize their ML experiments, and add Weights & Biases' lightweight integration to their existing ML code to get live metrics, terminal logs, and system stats streamed to the centralized dashboard.
The Weights & Biases platform provides a variety of features, including interactive data visualization, hyperparameter optimization, model lifecycle management, and experiment tracking. Users can monitor CPU and GPU usage in real-time, visualize datasets, logs, and system stats in a centralized location, analyze collaboratively to uncover key insights, and compare side-by-side to debug easily and build iteratively. The platform allows ML teams to experiment collaboratively to find the best model, evaluate models, discuss bugs, and demonstrate progress, and inform stakeholders with configurable reports.
Weights & Biases is free for personal use and academic projects, and it's easy to get started. The platform has a quick hosted notebook that enables users to run their first experiment in 30 seconds. Weights & Biases' mission is to build the best tools for machine learning, and the platform is part of the new standard of best practices for machine learning. Weights & Biases is contributing to responsible AI with tools for transparency and reproducibility in model development and deployment.
In summary, Weights & Biases is a comprehensive MLOps platform that offers ML practitioners a user-friendly experience that makes redundant work disappear. The platform provides a system of record that makes all histories reproducible and discoverable, and it allows users to build streamlined machine learning workflows incrementally. Weights & Biases is designed for ML practitioners who want to optimize, visualize, collaborate on, and standardize their model and data pipelines for better productivity, and the platform is used by some of the most innovative organizations around the world.
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