Curated list of papers and resources focused on the MIT DCIST stack intended to keep pace with the anticipated surge of research in the coming months.

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

All about Robotics and AI Agents you need are here

A minimal implementation of DeepMind's Genie world model

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

🤖 Awesome list of AI Agents

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related webs…

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers t…

Code to build a spatial historical dataset of 166,140 post offices.

A foundation model for knowledge graph reasoning

Denoising Diffusion Probabilistic Models for Uncertainty Estimation

Elevation Mapping on GPU.

🔥Highlighting the top ML papers every week.

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Dense Prediction Transformers

Refine high-quality datasets and visual AI models

Template for data generator with PyTorch

Code release for NeRF (Neural Radiance Fields)

[CVPR 2021 Oral] Self-supervised Geometric Perception

Reference models and tools for Cloud TPUs.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

Nvidia Semantic Segmentation monorepo

Kernel Point Convolution implemented in PyTorch

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

Sandbox for training deep learning networks

Build and run Docker containers leveraging NVIDIA GPUs

This is a growing collection of code samples, fully working demonstration programs I wrote as supplementary material for articles posted at forums, newsgroups, Q&A sites, blogs, and so on.