SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
Repository profile
Supporting code for the A3D3 HDR challenge
Repository updates
Get generated a3d3-institute/HDRchallenge development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-20 04:06
50 captures since 2026-06-04
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-20 04:06
scripts/example_submissions/tf_reqs/requirements.txt
python ecosystem,
44 dependencies
scripts/example_submissions/with_requirements/requirements.txt
python ecosystem,
44 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Algorithms for outlier, adversarial and drift detection
Agentic RL Training at Scale
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Analyzing the evolution of ChatGPT's codebase through time with curated archives and scripts
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
Current medical Artificial Intelligence systems face a dual challenge: the "black box" nature ofdeep learning models leads to a lack of interpretability, and the centralization of sensitive patient data createssignificant security vulnerabilities. This paper presents ASIC-RAG-CHIMERA , a novel architecture thatrepurposes obsolete Bitcoin mining