LXX's starred repositories
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
annotated-transformer
An annotated implementation of the Transformer paper.
onnx-simplifier
Simplify your onnx model
semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
Scaffold-GS
[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
PointTransformerV3
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
Segment-Any-Point-Cloud
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
pytorch-quantization-demo
A simple network quantization demo using pytorch from scratch.
oneformer3d
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Awesome-3D-Vision-and-Language
A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
KDD23_DynEformer
PPIO workload prediction framework code
Part2Object
[ECCV 2024] The official PyTorch implementation of the "Part2Object: Hierarchical Unsupervised 3D Instance Segmentation".
LossyCodec
硕士期间的课程作业，自实现的有损压缩编解码器（2D-DCT编解码+哈夫曼编解码）