Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
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Tools for computational pathology
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Stream your Linux desktop to a Smart TV via Miracast/WFD, DLNA, or Chromecast.
Unmanned Surface Vehicle simulation on Gazebo with water current and winds
A dependency-free cross-platform swiss army knife for PDB files.
Translated✈️ Self-hosted multi-channel airfare price monitoring: flight detail collection → DingTalk rich-media push → four-layer strong alerts when the target price is met. Domestic routes and international routes (destinations on five continents) share the same collect-judge-push pipeline; data stays on your own machine, all configuration is done on a web page, open source and free.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
Speedrun for pretraining without backpropagation
AI Agent Identity and Access Management and Inference Firewall
Convert and edit files with a liquid-glass radial menu: start dragging a file, press Shift, drop it on a slice. Windows, Mac and Linux.
:hospital: Medical Text Mining and Information Extraction with spaCy
Reusable GitHub Actions source builds for jhaizhou-ops/d2r-mobile. Bring your own prepared game archive.
Make Gemini code like Claude Models. Forces it to inspect files before editing, plan changes, test its work, and back up every “done” with actual evidence.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
hBPF = eBPF in hardware
a systemone proxy using embeddings that distills a teacher model
Multiprocessing Pool Extensions
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Crop Yield Prediction with Deep Learning
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
A Python toolkit for processing tabular data