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💬 Create Dialogs, Visual Novels, RPGs, and manage Characters with Godot to create your Game!
Accompanying code, guides and documentation for our paper on AI triggers for insect camera traps.
The simplest, fastest repository for training/finetuning small-sized VLMs.
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
[GBIF eXtreme DownLoader] Helper for downloading large amount of data from GBIF.
(ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study
[ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery （CVPR2025）
Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/
Flatbug is a hyperinference and trained YOLOv8 model zoo, with a bespoke diverse dataset of the same name.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"
The computer language for describing species and phenotypes
A multimodal model bridging vision and genomics for biodiversity monitoring at scale.
Tool for managing exclusive GPU access for distributed machine learning workloads
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Mining Association Rules and Frequent Itemsets with R
Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Code for the paper: "Let it BEE": Natural Language Classification of arthropod specimens based on their Spanish description