xwqtju

xwqtju's Stars

• zhutmost/nsfc-latex-template

  国自然基金Latex模板

  Language:TeX94

• heidelberg-hepml/lorentz-gatr

  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)

  Language:Python166

• lucidrains/autoregressive-diffusion-pytorch

  Implementation of Autoregressive Diffusion in Pytorch

  Language:Python3319

• caio-freitas/GraphARM

  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]

  Language:Python294

• Pang-Yatian/Point-MAE

  [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

  Language:Python48357

• zhengxiaozx/PointDif

  Language:Python18

• Julie-tang00/Point-BERT

  [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

  Language:Python56266

• Zhang-VISLab/IROS2024-LossDistillationWeightedCD

  The official repository of the paper "Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance"

  4

• datawhalechina/self-llm

  《开源大模型食用指南》针对**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

  Language:Jupyter Notebook10.6k1.2k

• anpei96/point-up-sample-demo

  An demo of our icassp work LiDAR point cloud up-sampling

  Language:Python1

• meta-llama/llama-models

  Utilities intended for use with Llama models.

  Language:Python5.5k906

• facebookresearch/PointInfinity

  Code for PointInfinity: Resolution-Invariant Point Diffusion Models

  Language:Python202

• w86763777/pytorch-ddpm

  Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

  Language:Python52663

• addtt/variational-diffusion-models

  PyTorch implementation of Variational Diffusion Models.

  Language:Python775

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.5k210

• QWTforGithub/PUDM

  [A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]

  Language:Python13316

• chingyaoc/pytorch-REINFORCE

  PyTorch Implementation of REINFORCE for both discrete & continuous control

  Language:Python26650

• cloudygoose/Pytorch-NCE

  The Noise Contrastive Estimation for softmax output written in Pytorch

  Language:Python1

• JunweiZheng93/APES

  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

  Language:Python978

• Forrest-110/FastMAC

  Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'

  Language:Python987

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k952

• pmkalshetti/fast_point_cloud_sampling

  Fast point cloud sampling using graph signal processing.

  Language:C++255

• yongkyung-oh/Stable-Neural-SDEs

  Language:Jupyter Notebook264

• johannbrehmer/manifold-flow

  Manifold-learning flows (ℳ-flows)

  Language:Jupyter Notebook22927

• raminmh/liquid_time_constant_networks

  Code Repository for Liquid Time-Constant Networks (LTCs)

  Language:Python1.6k293

• raminmh/CfC

  Closed-form Continuous-time Neural Networks

  Language:Python909149

• AllenXiangX/SnowflakeNet

  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

  Language:Python15818

• SimingYan/IAE

  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"

  Language:Python10117

• itailang/SampleNet

  Differentiable Point Cloud Sampling (CVPR 2020 Oral)

  Language:Python37540

• HaoRan-hash/memory_efficient_attention

  Language:Python5