We write your reusable computer vision tools. 💜
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Updated
Dec 2, 2024 - Python
In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service.
We write your reusable computer vision tools. 💜
Open-source observability for your LLM application, based on OpenTelemetry
Most popular metrics used to evaluate object detection algorithms.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Prometheus instrumentation library for Python applications
Python package for the evaluation of odometry and SLAM
Prometheus-based Kubernetes Resource Recommendations
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Uncomplicated Observability for Python and beyond! 🪵🔥
Basic Utilities for PyTorch Natural Language Processing (NLP)
Platform for monitoring the four key software delivery metrics of software delivery
Machine learning metrics for distributed, scalable PyTorch applications.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
OpenTelemetry Python API and SDK
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.
Export Django monitoring metrics for Prometheus.io
Measures and metrics for image2image tasks. PyTorch.
📊 Benchmark multiple object trackers (MOT) in Python