CharlesCNorton's repositories

yoflo-cli

YO-FLO-CLI: A command-line interface for the YO-FLO package, providing advanced object detection and binary inference capabilities using vision-language models in real-time. pip install yoflo

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AI-Assisted-Coding

My public repository

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plandex

AI driven development in your terminal. Designed for large, real-world tasks.

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yoflo-gui

Real-time, YOLO-like object detection using the Florence-2-base-ft model with a user-friendly GUI.

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Computer-Vision

Collection of Computer Vision Projects

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text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

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itarmykit

Aggregates/updates/visualizes tools created by multiple teams of IT Army of Ukraine

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BirdNET-Pi

A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.

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uashield

Voluntary Ukraine security platform to protect us from Russian forces in the Internet

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cli

The Docker CLI

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etherscan-api

etherscan.io API PHP wrapper

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gov-ua

Monitoring Ukrainian government website availability

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londonbitdevs-website

Website for Bitdevs London

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gpt4all

gpt4all: run open-source LLMs anywhere

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bitcoin

Bitcoin Knots enhanced Bitcoin node/wallet software

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mistral-inference

Official inference library for Mistral models

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StableSwarmUI

StableSwarmUI, A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.

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stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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unsloth

Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

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MessagesForAGI

Future messages for AGI to decrypt and read.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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BinauralSDM

This repository contains a set of tools to render Binaural Room Impulse Responses (BRIR) using the Spatial Decomposition Method (SDM).The implementation features a series of improvements presented in Amengual et al. 2020, such as quantization of the direction of arrival (DOA) estimates to improve the spectral properties of the rendered BRIRs, or RT

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langchain

🦜🔗 Build context-aware reasoning applications

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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