Pinned Repositories
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.
DDAD
Dense Depth for Autonomous Driving (DDAD) dataset.
dgp
ML Dataset Governance Policy for Autonomous Vehicle Datasets
KP3D
Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation"
packnet-sfm
TRI-ML Monocular Depth Estimation Repository
permatrack
Implementation for Learning to Track with Object Permanence
PF-Track
Implementation of PF-Track
prismatic-vlms
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
sdflabel
Official PyTorch implementation of CVPR 2020 oral "Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors"
vidar
Toyota Research Institute - Machine Learning's Repositories
TRI-ML/packnet-sfm
TRI-ML Monocular Depth Estimation Repository
TRI-ML/vidar
TRI-ML/prismatic-vlms
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
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.
TRI-ML/PF-Track
Implementation of PF-Track
TRI-ML/KP2D
TRI-ML/permatrack
Implementation for Learning to Track with Object Permanence
TRI-ML/camviz
Visualization Library
TRI-ML/dgp
ML Dataset Governance Policy for Autonomous Vehicle Datasets
TRI-ML/vlm-evaluation
VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning
TRI-ML/linear_open_lm
A repository for research on medium sized language models.
TRI-ML/VEDet
TRI-ML/RAP
This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368
TRI-ML/VOST
Code for the VOST dataset
TRI-ML/RAM
Implementation for Object Permanence Emerges in a Random Walk along Memory
TRI-ML/road
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes (CoRL 2022)
TRI-ML/efm_datasets
TRI-ML Embodied Foundation Datasets
TRI-ML/OctMAE
Zero-Shot Multi-Object Shape Completion (ECCV 2024)
TRI-ML/refine
Official PyTorch implementation of the SIGGRAPH 2024 paper "ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation"
TRI-ML/stochastic_verification
Official repository for the paper "How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation"
TRI-ML/binomial_cis
Computation of binomial confidence intervals that achieve exact coverage.
TRI-ML/HAICU
TRI-ML/lm-evaluation-harness
A framework for few-shot evaluation of language models.
TRI-ML/pndr
TRI-ML/clip-video-encode
Easily compute clip embeddings from video frames
TRI-ML/DD3Dv2
TRI-ML/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
TRI-ML/japanese-llm-ranking
TRI-ML/unibench
Python Library to evaluate VLM models' robustness across diverse benchmarks
TRI-ML/voxel_occlusion_tester