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A low-cost, web-based RF Spectrum Scanner using an ESP32 and NRF24L01 module. It visualizes the 2.4 GHz band with real-time charts and uniquely "sonifies" the data, converting RF signals into audib…
grandrew / ghostwriter
Forked from awwaiid/ghostwriterghostwriter fork for attempt to support remarkable pro move
A curated list of projects related to the reMarkable tablet
Stream your reMarkable screen to any browser - no hacks, no dependencies, just install and go
A build of fingerterm, modified to draw more nicely on the reMarkable ePaper device.
Use the reMarkable2 as an interface to vision-LLMs (ChatGPT, Claude, Gemini). Ghost in the machine!
FilePilot is a file manager made in Python and Tkinter.
Official inference framework for 1-bit LLMs
Guides, Tricks, and Tips to get the Legion Go running best on Linux
Natural Gradient Boosting for Probabilistic Prediction
Unsupervised text tokenizer for Neural Network-based text generation.
💌 A beautiful, fast and fully open source mail client for Mac, Windows and Linux.
A Community Guide to getting all your Accessories, Games, Emulators, and Gaming Tips for your Lenovo legion Go Gaming Handheld.
A fast inference library for running LLMs locally on modern consumer-class GPUs
A Windows desktop tool to enable user to actively control Wi-Fi connections
This project aims to enhance the working environment on Windows
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
spion / adbfs-rootless
Forked from isieo/adbFSMount Android phones on Linux with adb. No root required.
Access your Android device filesystem from Midnight Commander through adb
Simple symbolic reasoner which supports fuzzy unification in Python
Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
HyperC Planning Database: all-in-one production rules and logistics engine for automatic planning
A massively parallel, optimal functional runtime in Rust
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)


