Lists (2)
Stars
Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/l…
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Model interpretability and understanding for PyTorch
XAI - An eXplainability toolbox for machine learning
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Visualizer for neural network, deep learning and machine learning models
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving