Toyota Research Institute - Machine Learning (TRI-ML)

Toyota Research Institute - Machine Learning

TRI-ML

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Toyota Research Institute - Machine Learning's repositories

vlm-evaluation

VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning

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dgp

ML Dataset Governance Policy for Autonomous Vehicle Datasets

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refine

Official PyTorch implementation of the SIGGRAPH 2024 paper "ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation"

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OctMAE

Zero-Shot Multi-Object Shape Completion (ECCV 2024)

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RAP

This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368

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stochastic_verification

Official repository for the paper "How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation"

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prismatic-vlms

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

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binomial_cis

Computation of binomial confidence intervals that achieve exact coverage.

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camviz

Visualization Library

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linear_open_lm

A repository for research on medium sized language models.

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FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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lm-evaluation-harness

A framework for few-shot evaluation of language models.

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permatrack

Implementation for Learning to Track with Object Permanence

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clip-video-encode

Easily compute clip embeddings from video frames

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VOST

Code for the VOST dataset

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efm_datasets

TRI-ML Embodied Foundation Datasets

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PF-Track

Implementation of PF-Track

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packnet-sfm

TRI-ML Monocular Depth Estimation Repository

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road

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes (CoRL 2022)

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RAM

Implementation for Object Permanence Emerges in a Random Walk along Memory

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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.

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sdflabel

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

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