Popular GitHub Repositories for Failure Recovery

Collection of popular and reproducible image denoising works.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

WTTE-RNN a framework for churn and time to event prediction

Failure archive for ChatGPT and similar models

log anomaly detection toolkit including DeepLog

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

?? Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

TypeScript-based disaster recovery documentation generator for Unraid servers. Automatically creates docker-compose files and restoration scripts from your running homelab setup.

A community curated collection of AI agent failure modes and battle-tested solutions.

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.