Search Results for "drift"
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Showing 24 open source projects for "drift"
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Alibi Detect
Algorithms for outlier, adversarial and drift detection
Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection. -
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WhisperX
Automatic Speech Recognition with Word-level Timestamps
...The system enables batched inference, significantly increasing transcription speed while maintaining high accuracy. It is particularly effective for long recordings, where traditional approaches may suffer from drift, repetition, or misalignment. whisperx also supports speaker diarization, allowing identification of different speakers within a conversation. Its architecture combines multiple components to enhance both performance and usability in real-world transcription tasks. Overall, whisperx provides a more robust and scalable solution for high-quality speech-to-text applications. -
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NannyML
Detecting silent model failure. NannyML estimates performance
NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data science, empowering data scientist to quickly understand and automatically detect silent model failure. ... -
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whylogs
The open standard for data logging
whylogs is an open-source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond... -
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Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. -
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Paper2Slides
From Paper to Presentation in One Click
...It uses an extraction approach intended to capture critical insights comprehensively, including important visuals and data points that often get missed in naive summarization. A major focus is traceability: generated slide content is designed to remain linked back to the source material so you can verify accuracy and reduce information drift. It also offers styling flexibility, letting you use built-in themes or describe a custom design direction in natural language for themed outputs. -
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Agent Control
Centralized agent control plane for governing runtime agent behavior
...The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where organizations need observability, enforcement, and governance around autonomous or semi-autonomous AI systems. The repository includes SDKs, a server, telemetry components, examples, and integrations for common agent frameworks. It is especially useful for teams building customer-facing, internal, or enterprise agents that need scalable runtime guardrails. -
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LongCat-Video
Foundational video generation model with 13.6B parameters
...A unified architecture handles text-to-video, image-to-video, and video-continuation tasks without separate models. It is pretrained for continuation, allowing it to create minutes-long sequences while limiting color drift and quality loss. A coarse-to-fine strategy operates across time and space to produce 720p video at 30 frames per second efficiently. Block Sparse Attention reduces high-resolution inference costs, while multi-reward GRPO training improves visual quality and prompt alignment. The repository includes inference scripts for single- and multi-GPU execution, model-download instructions, and interactive generation examples. ... -
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pip-tools
A set of tools to keep your pinned Python dependencies fresh
...It also resolves transitive dependencies and synchronizes your environment with pinned versions. Widely used in both development and CI workflows, it boosts reliability and eliminates drift in deployed setups. -
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NetAlertX
Centralized network visibility and continuous asset discovery
NetAlertX is a network visibility and asset intelligence framework for continuous device discovery and monitoring. It is designed for homelabs, IT teams, MSPs, NOCs, and distributed environments that need a centralized view of connected assets. The platform monitors devices, detects changes, tracks unauthorized hardware, and helps maintain a source of truth for network infrastructure. It supports discovery through methods such as arp-scan, Pi-hole imports, DHCP lease imports, UniFi... -
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Planning with Files
Claude Code skill implementing Manus-style persistent planning
...Inspired by high-profile agent workflows and context engineering patterns, it uses persistent markdown files (like task_plan.md, progress.md, and findings.md) as the “working memory” for AI agents, overcoming the limitations of ephemeral memory and large context windows that often lead to drift or information loss. Once installed, the plugin supports commands to create and manage planning files, integrates with multiple IDEs and CLI environments, and ensures sessions can recover progress even when context limits are reached. -
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EKS Best Practices
A best practices guide for day 2 operations
...Each section dives into operational details—for example, how to manage IAM roles for service accounts, secure the EKS endpoint, handle node auto-scaling, and design for multi-AZ resilience. Because running Kubernetes in production demands many “day-2” considerations (upgrades, drift, monitoring, incident response), the guide provides practical advice beyond simple cluster provisioning. -
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InfiniteYou
Flexible Photo Recrafting While Preserving Your Identity
InfiniteYou is an open-source image-generation and “identity-preserving image editing / generation” framework from ByteDance, designed to generate high-fidelity images that preserve a subject’s identity while allowing flexible editing or re-creation according to textual prompts. Using an architecture built around diffusion transformers (DiTs), InfiniteYou introduces a component called InfuseNet that injects identity features derived from reference images into the generation process — via... -
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LazyDS4
Transform your DualShock 4 into a native Xbox 360 controller. v2.1.0
LazyDS4 is a controller mapping application designed to convert HID input from a DualShock 4 controller directly to a virtual Xbox 360 controller. Optimized for simplicity and performance, it offers real-time input mapping with a ~1ms (1000Hz) polling rate, modern graphical interface with PyQt5, and automatic joystick calibration. 📌 What's New (v2.1.0) 🎨 Visual Overhaul — Modern, professional interface with gradient backgrounds and advanced styling 📐 Layout Optimization — Improved... -
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remotepower
A lightweight control plane for Linux servers
A lightweight control plane for Linux servers. No database, no cloud, no nonsense. One agent per host — everything else lives in flat JSON. v3.2.1 ships SNMP polling for agentless devices, MCP write tools for AI hosts, OIDC SSO, an actionable alerts inbox, and inbound webhooks + syslog. -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...Generally, the next user interaction is related to the sequence of the user's previous choices. In some cases, it might be a repeated purchase or song play. User interests can also suffer from interest drift because preferences can change over time. Those challenges are addressed by the sequential recommendation task. -
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Now maintained at github.com/spacepy/spacepy Space Science library for Python - contains superposed epoch classes, drift shell tracing, access to magnetic field models, streamline tracing, bootstrap confidence limits, time and coordinate conversions, etc.
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AstroTortilla
Astrophotography assistant
AstroTortilla is a wrapper around common astrophotography tools intended to automate basic tasks such as polar alignment and goto correction. Not in active development presently. -
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SnowMicroPyn
Python based reader for SnowMicroPen® .pnt measurements
SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. The SMP is the first high-resolution snow penetrometer. It is... -
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AstroMate
Please see AstroTortilla -project instead.
AstroMate is a project for automating repeating astrophotography tasks, such as equatorial mount polar alignment and target centering, by integrating existing tools and especially plate solving to the ASCOM telescope control interface. This project has been replaced by AstroTortilla. -
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Programa para simular un ocular reticulado mediante una webcam. Permite utilizar una cámara web compatible con v4l2 para hacer alineación polar de una montura ecuatorial con el método de deriva (drift method)
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A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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SpikeyTree infers divergence times between populations that share a common history described by a tree. SpikeyTree assumes that the populations have been evolving under isolation, according to the Wright-Fisher with pure drift. SpikeyTree can use the Beta or the Beta with Spikes approximation to the allele frequency distribution under the Wright-Fisher. More details can be found in Tataru et al. Inference under a Wright-Fisher model using an accurate beta approximation If using this software in a publication, please cite the above article.
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llmverify-npm
You need a safety layer between your LLM and your users.
...Local-first verification, safety monitoring, and guardrails for any LLM 100% Local | No Telemetry | Privacy-First | 500 free calls/day Links Product Page: subodhkc.com/products/llmverify npm: npmjs.com/package/llmverify GitHub: github.com/subodhkc/llmverify-npm Python Package (PyPI): github.com/subodhkc/llmverify Author: Subodh KC — AI governance, compliance, and security leader Feature One-liner What it catches Verify output await verify(aiResponse) Hallucinations, harmful content, quality issues Block injections isInputSafe(userMessage) Prompt injection, jailbreaks, malicious input Redact PII redactPII(text) Emails, phones, SSNs, credit cards, API keys Fix broken JSON repairJSON(broken) Missing brackets, trailing commas, unquoted keys Monitor health monitorLLM(client) Latency spikes, token drift, behavioral changes Sentinel tests sentinel.quick(client, model) LLM regressions b
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