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Florida Museum of Natural History, University of Florida
- Gainesville, FL
- http://nick-gauthier.github.io
- @nick_gaut
Highlights
- Pro
Stars
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
machine learning resources for archaeology
A comprehensive JAX/NNX library for diffusion and flow matching generative algorithms, featuring DiT (Diffusion Transformer) and its variants as the primary backbone with support for ImageNet train…
R 'reticulate' wrapper for `segment-geospatial` 'Python' package for segmenting geospatial data with the ‘Segment Anything Model’ (SAM).
AI development agent for Linear powered by Claude Code
Python API and examples for DNX64 SDK.
A curated list of awesome commands, files, and workflows for Claude Code
Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗
A collection of public resources for aerial archaeology: LiDAR, aerial imagery, historic maps, and more
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Minimal R package for creating custom neural network architectures easily using {torch}
How To Train Your VAE CODE
This project aims to bridge the gap between the ancient and the modern world by translating the Hittite language into English using Natural Language Processing (NLP) and machine learning techniques.
An R package for spatially explicit population models of disease transmission in wildlife
Pattern-oriented ensemble modelling and simulation (with spatially explicit populations)
Tutorial on how to run Llama2 on HiPerGator
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Repository of Crop Origins database and Phylo Food phylogeny
Faked GIS-Datasets, simulating an island in the Atlantic for educational purposes in using GIS in archaeology
Images to inference with no labeling (use foundation models to train supervised models).