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Starred repositories
Import-export OFF meshes in Blender.
Collect and summarize point cloud sota methods.
Code implementation for paper 《Dimensionality Reduction by Learning an Invariant Mapping》
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
图像images/点云point clouds标注工具汇总
Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]
PyTorch implementation of adversarial attacks [torchattacks]
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.
An open-source academic paper management tool.
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection, IROS2023 paper
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An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
[T-PAMI] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Model interpretability and understanding for PyTorch
Implementation for the paper: Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings