Interpretability and explainability of data and machine learning models
- explainable-ai
- explainable-ml
- trusted-ai
- trusted-ml
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Interpretability and explainability of data and machine learning models
A BERT model for scientific text.
Deep probabilistic analysis of single-cell and spatial omics data
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
TranslatedDSH × Blender direct real-time plugin v2.6.1: 15 model tools let AI drive the GUI Blender; supports dsh-TUI (selection chip / footer status / @ mentions / /blender), activity status pinned on top with one-click pause for the AI, native selection / collections / sub-elements sent directly to DSH, a modeling skill bundled with the package, supports WSL / Windows / macOS.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
TranslatedMcDonald's MCP party/group meal organizing assistant — a CLI/Skill for party booking and group meal planning based on the Model Context Protocol
Biological foundation modeling from molecular to genome scale
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
OpenMMLab Foundational Library for Training Deep Learning Models
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
moDel Agnostic Language for Exploration and eXplanation
Translates Django models using a registration approach.
NCM: Next Concept Modeling
No-code in the front, Python in the back. An open-source framework for creating data apps.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Model analysis tools for TensorFlow