NataliaDiaz

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

BentoML

The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

ggplot2-book

ggplot2: elegant graphics for data analysis

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

sammo

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

funModeling

R package: funModeling: data cleaning, importance variable analysis and model perfomance

CLiMB

The Continual Learning in Multimodality Benchmark

DVCEs

GraphER

twf

Official codebase for the ECCV 2022 paper Transfer without Forgetting

GCExplainer

NeSy-CL

Codebase for Neuro-Symbolic Continual Learning.

NeSyConceptLearner

explanation-ontology

Explanation Ontology Resource website

AI-SBOM

AI Software Bill of Materials for EU AI Act

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

pcx

Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.

Neuro-Symbolic-Verification

Neuro-Symbolic Verification of Deep Neural Networks

pulling_ace

FBD-UGR

Fundamentos de Bases de Datos

normalr

normalr: Normalisation of Multiple Variables in Large-Scale Datasets

gnn-neighbors-xai

Official implementation of “Evaluating Neighbor Explainability for Graph Neural Networks”

members

AMS Network on Neurosymbolic AI for Medicine

Telicity-on-NExT-QA

SeViLA's performance on NeXT-QA test set annotated for telicity