A python parametric CAD scripting framework based on OCCT
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Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
OpenSSF Scorecard - Security health metrics for Open Source
- scorecard
- openssf-scorecard
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
Native Operating System and Hardware Information
- operating-system
- hardware-information
- java
- jna
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
Most popular metrics used to evaluate object detection algorithms.
- metrics
- object-detection
- average-precision
- mean-average-precision
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
sitespeed.io is an open-source tool for comprehensive web performance analysis, enabling you to test, monitor, and optimize your website’s speed using real browsers in various environments.
- web
- metrics
- monitoring
- webperf
A browser-based 3D CAD for AI-assisted, parametric and direct modeling.
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Torchreid: Deep learning person re-identification in PyTorch.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
- prometheus
- kubernetes
- graphite
- metrics
The Abstraction and Reasoning Corpus
- artificial-intelligence
- program-synthesis
- psychometrics
- intelligence-testing
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- machine-learning
- economics
- causal-inference
- causality
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Prometheus-based Kubernetes Resource Recommendations
A strong, neutral, principles-driven, open source typeface for text or display
- typeface
- sil
- ofl
- sans-serif
An advanced, unified platform for code quality, architectural metrics, and Agile analytics. Features Python AST parsing, Java static analysis (code smells), and interactive project health dashboards built with Streamlit.
- agile
- code-analysis
- dashboard
- data-visualization
Jupiter: Governance-oriented Microservice Framework.
- golang
- microservice
- web-framework
- grpc
AI observability platform for production LLM and agent systems.
A crypto-secure Reliable-UDP library for Golang with FEC support.
- kcp
- forward-error-correction
- reed-solomon-codes
- reliable-udp-library