Toyota Research Institute - Machine Learning
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- vidar Public
TRI-ML/vidar’s past year of commit activity - RAP Public
This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368
TRI-ML/RAP’s past year of commit activity - lm-evaluation-harness Public Forked from EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
TRI-ML/lm-evaluation-harness’s past year of commit activity - vlm-evaluation Public
VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning
TRI-ML/vlm-evaluation’s past year of commit activity - unibench Public Forked from facebookresearch/unibench
Python Library to evaluate VLM models' robustness across diverse benchmarks
TRI-ML/unibench’s past year of commit activity - refine Public
Official PyTorch implementation of the SIGGRAPH 2024 paper "ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation"
TRI-ML/refine’s past year of commit activity
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