[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

Motion Planning around Obstacles with Convex Optimization by Marcucci et al, 2023

[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

Reading list for research topics in multimodal machine learning

Official implementation of Diffusion Policy Policy Optimization, arxiv 2024

code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

A fast algorithm for finding an optimal path in a collection of safe boxes

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

[ICRA 2024]: Train your parkour robot in less than 20 hours.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

[RSS 2024] Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

Configuration Space Distance Fields for Manipulation Planning

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

awesome-autonomous-driving

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A latent text-to-image diffusion model

Your image is almost there!

Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.