[CVPR 2024 Highlight] Visual Point Cloud Forecasting

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving

A Collection of Foundation Driving Models by OpenDriveLab

[ECCV 2024] Embodied Understanding of Driving Scenarios

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Fine-tune Segment-Anything Model with Lightning Fabric.

Open-source simulator for autonomous driving research.

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

The interactive graphing library for Python ✨

A library for users to write (experiment in research) configurations in Python Dict or JSON format, read and write parameter value via dot . in code, while can read parameters from the command line…

Automatic driving long tail / corner cases scenarios dataset (Anomaly detection)

open Multi-View Stereo reconstruction library

A python module for scientific analysis of 3D data based on VTK and Numpy

PyTorch Boilerplate For Research

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Matplotlib tutorial for beginner

Python sample codes and textbook for robotics algorithms.

✍️ A carefully curated list of NLP paper summaries

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

Web site for www.py4e.com and source to the Python 3.0 textbook