Prompt OpenPI and run in IsaacSim (DROID)

Unofficial implementation of the Dreamer 4 world model in PyTorch.

Describe Anything, Anywhere, at Any Moment (DAAAM), a novel approach to real-time, large-scale, spatio-temporal memory

[ICLR'26] IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

Grounding Image Matching in 3D with MASt3R

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

[ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Get your reservations when others cancel... for OpenTable

FastAPI Best Practices and Conventions we used at our startup

🖥️ Session manager for tmux, built on libtmux.

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Header-only C++/python library for fast approximate nearest neighbors

Visualize, query, and stream to train on multimodal robotics data.

Data-Driven Evaluation for LLM-Powered Applications

🌸 A command-line fuzzy finder

🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

torchview: visualize pytorch models

Human Scene Transformer: A framework for trajectory prediction and wrappers for reframing the JRDB dataset for the prediction task.

😎 Awesome lists about all kinds of interesting topics

A list of video object segmentation (VOS) papers

A curated list of Object SLAM papers and resources

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites