GitHub - uber/orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Pyflame: Uber Engineering's Ptracing Profiler for Python
EngineeringPyflame: Uber Engineering’s Ptracing Profiler for PythonSeptember 27, 2016 / Global At Uber, we make an effort to write efficient backend services to keep our compute costs low. This becomes increasingly important as our business grows; seemingly small inefficiencies are greatly magnified at Uber’s scale. We’ve found flame graphs to be an effective tool for understanding the CPU and mem
GitHub - ludwig-ai/ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models
Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Key features: 🛠 Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failu
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Real world Python performance tuning
Uber Introduces PyML: Their Secret Weapon for Rapid Machine Learning Development
GitHub - uber-archive/pyflame: 🔥 Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.
