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Exodapt AI, Nagoya University
- Tokyo, Japan
- https://exodapt.ai/
- https://orcid.org/0000-0001-6106-9616
Highlights
- Pro
Stars
Tesseract Open Source OCR Engine (main repository)
Find maximum input/output token length combinations for Text Generation Inference (TGI) deployments.
Print directory tree structure and file contents with customizable exclusions via a Python CLI.
Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
Large Language Model Text Generation Inference
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Docker image for running RealSense depth cameras with ROS 2 on Raspberry Pi 5
Library for temporal accumulation of semantic point clouds generated from image and lidar senor data
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
This repository contains demos I made with the Transformers library by HuggingFace.
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
LAVIS - A One-stop Library for Language-Vision Intelligence
🦜🔗 Build context-aware reasoning applications
Code to reproduce results in the paper "Learning to Predict Navigational Patterns from Partial Observations" (RA-L 2023)
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
Minimal version of LSeg, based on https://github.com/isl-org/lang-seg
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
Code to reproduce results in the paper "Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision" (ITSC 2021)
Code accompanying the paper "Predictive World Models from Real-World Partial Observations" (MOST 2023)
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Python sample codes and textbook for robotics algorithms.
Python Library for Causal and Probabilistic Modeling using Bayesian Networks