A set of documented functions for simulating the performance of photovoltaic energy systems.
- solar-energy
- python
- renewable-energy
- renewables
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A set of documented functions for simulating the performance of photovoltaic energy systems.
A practical hardware and software setup for a compact RL-powered biped robot.
gentle forced aligner
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
tensorflow implementation of 'YOLO : Real-Time Object Detection'
Painlessly create beautiful matplotlib plots.
RPyC (Remote Python Call) - A transparent and symmetric RPC library for python
Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.
Bub it. Build it. A tiny agent runtime, composable with plugins.
A distributed task scheduler for Dask
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Python interface to Hive and Presto. 🐝
File manager for Neovim. Better than NERDTree.
A library for event sourcing in Python.
An offline deep reinforcement learning library
[UNMAINTAINED] A goal, task & habit tracker + personal dashboard to focus on what matters
SQL Lineage Analysis Tool powered by Python
rsatool can be used to calculate RSA and RSA-CRT parameters
Getting ADB, root, backups and custom apps onto locked-down Android photo frames (Skylight Calendar, BIUFRAME)
🔗 Don't know what type of hash it is? Name That Hash will name that hash type! 🤖 Identify MD5, SHA256 and 300+ other hashes ☄ Comes with a neat web app 🔥
Asyncio support for pytest
TranslatedDSH × Blender direct-connect plugin v3.0.6: 15 model tools that let AI drive the GUI Blender (viewport / custom viewpoints / headless worker / job layer / transaction rollback / recipe library), with a contract layer of 34 families / 228 ops; installed via npm + addon zip, GUI first, headless as backup; dsh-TUI selected chip / @ mention / /blender, a modeling skill bundled with the package, supports WSL / Windows / macOS.
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