UsanoCoCr

UsanoCoCr's Stars

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.9k1895242.3k

• google-research/t5x

  Language:Python2.7k36141309

• BDBC-KG-NLP/QA-Survey-CN

  北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

  1.7k424261

• pliang279/awesome-phd-advice

  Collection of advice for prospective and current PhD students

  1.7k370127

• hzwer/WritingAIPaper

  Writing AI Conference Papers: A Handbook for Beginners

  1.6k5258

• OpenMotionLab/MotionGPT

  [NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

  Language:Python1.5k479896

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.4k10147230

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.4k1858116

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k3729305

• Mael-zys/T2M-GPT

  (CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

  Language:Python615147354

• jacobgil/pytorch-tensor-decompositions

  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

  Language:Python27971363

• StephenQSstarThomas/CourseCommunity

  PKU Course Community, a platform for sharing notes & selfstudy

  Language:Python1981116

• soshishimada/PhysCap_demo_release

  PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on [SIGGRAPH Aisa'20](https://vcai.mpi-inf.mpg.de/projects/PhysCap/).

  Language:Python19261328

• GestaltCogTeam/D2STGNN

  Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

  Language:Python1734817

• jnnan/trumans_utils

  Repository of TRUMANS

  Language:Python1294306

• mingyuan-zhang/FineMoGen

  [NeurIPS 2023] FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

  Language:Python118698

• GraphPKU/MachineLearning2024

  803

• KAIST-VICLab/SkateFormer

  [ECCV 2024] Official repository of SkateFormer

  Language:Python61778

• lshiwjx/DSTA-Net

  Language:Python58357

• conceptofmind/t5-pytorch

  Implementation of Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer in PyTorch.

  Language:Python50306

• fengshiwest/Awesome-Motion-Diffusion-Models

  A collection of resources and papers on Motion Diffusion Models.

  47302

• zhangy76/PhysMoP

  Code repository for Incorporating Physics Principles for Precise Human Motion Prediction

  Language:Python25164

• dongzhuoyao/motionfm

  A pytorch implementation of paper "Motion Flow Matching for Human Motion Synthesis and Editing"

  Language:Python23340

• hengRUC/VSP

  Language:Python23330

• damo-cv/MotionRGBD

  [CVPR2022] Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition

  Language:Python22083

• zhoubenjia/MotionRGBD-PAMI

  Language:Python221132

• Gary-code/KETG-paper-reading

  😎 基于知识的文本生成相关文章总结与个人笔记

  20110

• mchiquier/musclesinaction

  Language:Python17153

• sebastian-claici/StochasticWassersteinBarycenters

  Implementation of the paper 'Stochastic Wasserstein Barycenters'

  Language:C++10524

• WHB139426/GCG

  Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering [ACM MM'24]

  Language:Python7211