-
Carnegie Mellon University
- Pittsburgh, PA, USA
- https://ggare-cmu.github.io/
Highlights
- Pro
Stars
Evaluating text-to-image/video/3D models with VQAScore
This repository contains demos I made with the Transformers library by HuggingFace.
MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation challenges.
official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
Experiments for the Neural Autoregressive Flows paper
Repository for "Differentiable Causal Discovery from Interventional Data"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[ICCV 2021] A dataset of non-rigidly deforming objects.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
ML Collections is a library of Python Collections designed for ML use cases.
A python module to scrape arxiv.org for a date range and category
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"
Cross-modal few-shot adaptation with CLIP
[CoRL 2022] This repository contains code for generating relevancies, training, and evaluating Semantic Abstraction.
This repository provides data for the VAW dataset as described in the CVPR 2021 paper titled "Learning to Predict Visual Attributes in the Wild" and the ECCV 2022 paper titled "Improving Closed and…
Convert scikit-learn models to PyTorch modules
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions