Convolutional Neural Networks

Build and run Docker containers leveraging NVIDIA GPUs

🔥Highlighting the top ML papers every week.

Code release for NeRF (Neural Radiance Fields)

Refine high-quality datasets and visual AI models

📘 The interactive computing suite for you! ✨

Reference models and tools for Cloud TPUs.

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

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

Sandbox for training deep learning networks

Dense Prediction Transformers

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

Nvidia Semantic Segmentation monorepo

🤖 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! 🔥

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

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

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…

A minimal implementation of DeepMind's Genie world model

Kernel Point Convolution implemented in PyTorch

Elevation Mapping on GPU.

A foundation model for knowledge graph reasoning

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

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

[CVPR 2021 Oral] Self-supervised Geometric Perception

Template for data generator with PyTorch

[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…

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.

All about Robotics and AI Agents you need are here

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