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Projects in Awesome Lists by TRI-ML

A curated list of projects in awesome lists by TRI-ML .

https://github.com/TRI-ML/packnet-sfm

TRI-ML Monocular Depth Estimation Repository

Last synced: 03 Aug 2024

https://github.com/TRI-ML/DDAD

Dense Depth for Autonomous Driving (DDAD) dataset.

Last synced: 03 Aug 2024

https://github.com/TRI-ML/dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

computer-vision deep-learning pytorch

Last synced: 31 Jul 2024

https://github.com/TRI-ML/prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Last synced: 12 Aug 2024

https://github.com/TRI-ML/sdflabel

Official PyTorch implementation of CVPR 2020 oral "Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors"

Last synced: 31 Jul 2024

https://github.com/TRI-ML/permatrack

Implementation for Learning to Track with Object Permanence

Last synced: 31 Jul 2024

https://github.com/TRI-ML/linear_open_lm

A repository for research on medium sized language models.

Last synced: 31 Jul 2024

https://github.com/TRI-ML/VEDet

Last synced: 31 Jul 2024

https://github.com/TRI-ML/RAM

Implementation for Object Permanence Emerges in a Random Walk along Memory

Last synced: 31 Jul 2024