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Stars
OpenMMLab's next-generation platform for general 3D object detection.
Deep Hough Voting for 3D Object Detection in Point Clouds
Group-Free 3D Object Detection via Transformers
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
PyTorch implementation for our ICLR 2025 paper State Space Model Meets Transformer: A New Paradigm for 3D Object Detection
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"
[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection
[ICLR 2024] This is the official code of the paper "V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection"
A generalizable application framework for segmentation, regression, and classification using PyTorch
Google Research
PyTorch Implementation of Efficient Object Detection in Large Images - [WACV20]
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
Implementation for NeurIPS 2024 paper "SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models" (https://arxiv.org/abs/2411.02175)
[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940
DeepSeek Coder: Let the Code Write Itself
Github开源项目hyperopt系列的中文文档,以及学习教程等
Hyper-parameter optimization for sklearn
A Python implementation of global optimization with gaussian processes.
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers