ashinelp

ashinelp's Stars

• Vortex-CAE/Vortex-Radioss

  An open-source python library for processing Radioss results files

  Language:Python163

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript17.7k2.2k

• libAudioFlux/audioFlux

  A library for audio and music analysis, feature extraction.

  Language:C2.7k117

• ws-choi/ISMIR2020_U_Nets_SVS

  A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.

  Language:Jupyter Notebook779

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.1k1k

• mlcs/iaaft

  Iterated Amplitude Adjusted Fast Fourier Transform time series surrogates

  Language:Python91

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.2k3.2k

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.1k1.1k

• optuna/optuna-examples

  Examples for https://github.com/optuna/optuna

  Language:Python666174

• bthornton191/adamspy

  Python modules for working with Adams models and data.

  Language:Batchfile83

• modelon-community/PyFMI

  PyFMI is a package for loading and interacting with Functional Mock-Up Units (FMUs) both for Model Exchange and Co-Simulation, which are compiled dynamic models compliant with the Functional Mock-Up Interface (FMI)

  Language:Python15838

• modelica/Reference-FMUs

  Functional Mock-up Units for development, testing and debugging

  Language:JavaScript14260

• jokofa/torch_kmeans

  PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.

  Language:Python505

• ChoiNgai/FuzzyClustering

  模糊聚类算法_python版

  Language:HTML263

• Heroic-Studio/Google-Mirrors

  Google谷歌、Wikipedia维基百科、谷歌学术镜像2024最新 新增各种镜像站

  1.2k122

• Strawberry-Eat-Mango/PCT_Pytorch

  Pytorch implementation of PCT: Point Cloud Transformer

  Language:Python34284

• qinzheng93/GeoTransformer

  [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

  Language:Python62366

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python2.8k414

• xiaoaoran/3d_url_survey

  (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

  19420

• isl-org/Open3D-PointNet2-Semantic3D

  Semantic3D segmentation with Open3D and PointNet++

  Language:Python508113

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k390

• hardyqr/PointcloudVoxelizer

  A python based tool for converting point cloud into voxel grid.

  Language:Python8717

• antao97/PointCloudDatasets

  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

  Language:Python40543

• zhulf0804/3D-PointCloud

  Papers and Datasets about Point Cloud.

  Language:Python2.4k300

• CloudCompare/CloudCompare

  CloudCompare main repository

  Language:C++3.5k1k

• fendouai/PyTorchDocs

  PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

  Language:Python2.4k697

• Pyomo/mpi-sppy

  MPI-based Stochastic Programming in PYthon

  Language:Python6538

• georgiosarvanitidis/geometric_ml

  This repository contains code for applying Riemannian geometry in machine learning.

  Language:Python7514

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k3.6k

• Ali-Stanford/PointNetCFD

  Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)

  Language:Jupyter Notebook218