Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
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Updated
Dec 31, 2025 - Python
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
PyMASq is an easy-to-use, Python based software tool with enhanced SDC capabilities
Lightweight spec-driven coding for Claude Code and Codex: init standards, capture changes, preserve SCN/REQ/AC traceability, apply tasks, check quality, archive specs.
Network Intrusion Detection System for the purpose of anomaly detection in network data based on the SDC11073 protocol
Timing diagram specification editor
semantic segmentation for scene understanding
Dependency-free static timing analysis (STA) engine in pure Python: parses Liberty, gate-level Verilog and SDC, computes setup/hold slack and visualises timing waveforms.
Ṛta — deterministic SDC constraint intelligence for block-level VLSI design. Validate, generate, lint, convert and analyze timing constraints before STA, with clock intelligence, coverage, conflict detection, readiness scoring, diff, MMC and CI gates. 1,200+ tests, 119 rules, fully offline — no LLM.
Open-source framework for detecting Silent Data Corruption (SDC) in production GPU/accelerator clusters
Offline operator-level SDC screening for GPU clusters via deterministic training-fragment replay + golden-tensor validation
Visualizations plugins for the spectral-data-converter library.
Scikit-learn plugins for the spectral-data-converter library.
Python library for converting (and filtering) spectral data in various formats.
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