yjhp1016

yjhp1016's Stars

• mkhorasani/Streamlit-Authenticator

  A secure authentication module to manage user access in a Streamlit application.

  Language:Python1.6k254

• benji1123/gan

  Generate artificial images

  Language:Python3

• narimiller/GANs-generative-art

  Language:Jupyter Notebook4

• gsurma/image_generator

  DCGAN image generator 🖼️.

  Language:Jupyter Notebook21782

• eBay/RANSynCoders

  Language:Jupyter Notebook8215

• PatientEz/Multidimensional-time-series-prediction-

  Multidimensional Time Series Prediction by using LSTM

  Language:Python5518

• binli826/LSTM-Autoencoders

  Anomaly detection for streaming data using autoencoders

  Language:Python18746

• BLarzalere/LSTM-Autoencoder-for-Anomaly-Detection

  AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

  Language:Jupyter Notebook19175

• khundman/telemanom

  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

  Language:Jupyter Notebook1k249

• ifsheldon/stannum

  Fusing Taichi into PyTorch

  Language:Python1359

• clobosmesher/MixedOcTree

  3D mesh generator based on the Octree with mixed-elements at the end.

  Language:C++73

• boschresearch/torchphysics

  Language:Jupyter Notebook40341

• yuanming-hu/taichi_mpm

  High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)

  Language:C++2.4k316

• lanl/MF-LBM

  MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media

  Language:Fortran10027

• Zhijie-YU/MLS_MPM_CPIC

  CPIC cases implemented with taichi.

  Language:Python424

• taichi-dev/awesome-taichi

  A curated list of awesome Taichi applications, courses, demos and features.

  49219

• nschloe/meshio

  :spider_web: input/output for many mesh formats

  Language:Python1.9k398

• analysiscenter/pydens

  PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

  Language:Jupyter Notebook28765

• aialgorithm/Blog

  Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】

  Language:Jupyter Notebook799238

• rlcode/reinforcement-learning

  Minimal and Clean Reinforcement Learning Examples

  Language:Python3.4k728

• mjysh/RL3linkFish

  Example code implementation of learning to swim in potential flow via reinforcement learning

  Language:Python126

• giotto-ai/giotto-tda

  A high-performance topological machine learning toolbox in Python

  Language:Python853174

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.9k5k

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.4k1.9k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.2k1.1k

• pearu/pyvtk

  Manupulate VTK files in Python

  Language:Python7226

• Vineyo/Taichi-Moxi

  Language:Python214

• krux02/minimal_cmake_example

  this tries to be a minimal cmake example, that covers sources resources dependencies and packaging.

  Language:CMake18846

• wzpan/cmake-demo

  《CMake入门实战》源码

  Language:CMake2.2k914

• ttroy50/cmake-examples

  Useful CMake Examples

  Language:CMake12.4k2.5k