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bttung-2020's Projects

gpt4all icon gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

greaterwms icon greaterwms

This Inventory management system is the currently Ford Asia Pacific after-sales logistics warehousing supply chain process . After I leave Ford , I start this project . In order to help some who need it . OneAPP Type . Support scanner PDA, mobile APP, desktop exe, website as well .

hardware icon hardware

STL and STEP files for Emlid devices and additional accessories

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

inav icon inav

INAV: Navigation-enabled flight control software

jetbot icon jetbot

An educational AI robot based on NVIDIA Jetson Nano.

kinetics-i3d icon kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

leaflet icon leaflet

🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦

llama icon llama

Inference code for LLaMA models

llama-hub icon llama-hub

A library of data loaders for LLMs made by the community -- to be used with GPT Index and/or LangChain

llama_index icon llama_index

LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mavproxy icon mavproxy

MAVLink proxy and command line ground station

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

milvus icon milvus

A cloud-native vector database, storage for next generation AI applications

minigpt-4 icon minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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