Application of asyncio to hardware interfaces. Tutorial and code.
- micropython
- asyncio
- embedded
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Application of asyncio to hardware interfaces. Tutorial and code.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
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TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Bluetooth experimentation framework for Broadcom and Cypress chips.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Asynchronous interface for peewee ORM powered by asyncio
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Python object-oriented database
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MicroPython Tool - Utility to interact with a MicroPython board over a serial connection.
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A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
This repo offers a simple interface that helps you to read&summerize research papers in pdf format. You can ask some questions after reading. This interface is developed based on openai API and using GPT-3.5-turbo model.
HaboMalHunter is a sub-project of Habo Malware Analysis System (https://habo.qq.com), which can be used for automated malware analysis and security assessment on the Linux system.
User-oriented Web UI browser tests in Python
Native Pokémon Emerald port for Nintendo 3DS, featuring dual-screen gameplay, stereoscopic 3D, and a fully 3D world.
The last Micro Web Server for IoTs (MicroPython) or large servers (CPython), that supports WebSockets, routes, template engine and with really optimized architecture (mem allocations, async I/Os). Ready for ESP32, STM32 on Pyboard, Pycom's chipsets (WiPy, LoPy, ...). Robust, efficient and documented!
A curated list of Monte Carlo tree search papers with implementations.
AI-first external attack surface assessment with continuous discovery, evidence-based vulnerability validation, and developer-agent MCP integration.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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