Pinned Repositories
ada-2021-project-pandas-brown-bears
ada-2021-project-pandas-brown-bears created by GitHub Classroom
annotation
Annotation tool for printing block identification
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
Draining-Youtube
Repository containing all work relative to the project Draining Youtube carried out in 2019 at the Digital Humanities Lab at EPFL
dust3r
DUSt3R: Geometric 3D Vision Made Easy
EE559
Deep Learning Project
history-digital-objects-symbolic
Our EPFL DH-412 history and the digital course project
InstantMesh
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
nft-trading
venice_building_height
yetiiil's Repositories
yetiiil/nft-trading
yetiiil/venice_building_height
yetiiil/ada-2021-project-pandas-brown-bears
ada-2021-project-pandas-brown-bears created by GitHub Classroom
yetiiil/annotation
Annotation tool for printing block identification
yetiiil/BlenderProc
A procedural Blender pipeline for photorealistic training image generation
yetiiil/Draining-Youtube
Repository containing all work relative to the project Draining Youtube carried out in 2019 at the Digital Humanities Lab at EPFL
yetiiil/dust3r
DUSt3R: Geometric 3D Vision Made Easy
yetiiil/EE559
Deep Learning Project
yetiiil/history-digital-objects-symbolic
Our EPFL DH-412 history and the digital course project
yetiiil/InstantMesh
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
yetiiil/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
yetiiil/Marigold
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
yetiiil/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
yetiiil/mobile-gaitlab
yetiiil/nii_project
yetiiil/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.
yetiiil/Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
yetiiil/TripoSR