egeozguroglu Goto Github PK

clip

Contrastive Language-Image Pretraining

egeozguroglu

egeozguroglu.github.io

Ege Ozguroglu's github.io Website

example-project-python

Example python project

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

groundingdino

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

hand_object_detector

Project and dataset webpage:

hyperfuture

Code for the paper Learning the Predictability of the Future

isedit

A python library that combines score editing tools with audio output.

johnbarron-website

lang-segment-anything

SAM with text prompt

long-short-term-transformer

[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

numpy

The fundamental package for scientific computing with Python.

openpom

Replication of the Principal Odor Map paper by Lee et al (2022). The model is implemented such that it integrates with DeepChem

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

photography

pix2gestalt

Code for the paper "pix2gestalt: Amodal Segmentation by Synthesizing Wholes"

pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

segment-anything

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.

segment-everything-everywhere-all-at-once

Official implementation of the paper "Segment Everything Everywhere All at Once"

tacto

Simulator of vision-based tactile sensors.

touch

Zero-shot 3D Reconstruction from Touch

track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

viper

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)