Vadermit

Vadermit's Stars

• humnetlab/Urban_Dynamics

  Urban Dynamics Through the Lens of Human Mobility

  Language:Jupyter Notebook154

• GouMinghao/new_SJTU_thesis_template

  SJTU thesis template version 2021, modified from the official version

  Language:TeX471

• abraunegg/onedrive

  OneDrive Client for Linux

  Language:D9.6k850

• Vadermit/AMOID

  Automated Microtransit Optimization Model Powered by Individual Travel Data

  Language:Jupyter Notebook4

• Vadermit/ASL

  Code repository of paper 'Automated Stable Representation Learning with Implicit Feedback for Recommendation'

  Language:Python2

• xtma/simple-pytorch-rl

  Reinforcement Learning Methods with PyTorch

  Language:Python3714

• Fang-design/HetGAN

  Language:Python5

• PreferredAI/cornac

  A Comparative Framework for Multimodal Recommender Systems

  Language:Python846140

• hexojs/hexo

  A fast, simple & powerful blog framework, powered by Node.js.

  Language:TypeScript38.9k4.8k

• Phlya/adjustText

  A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

  Language:Jupyter Notebook1.5k87

• xinychen/awesome-beamer

  Creating presentation slides by using Beamer in LaTeX.

  Language:TeX9623

• Davidham3/ASTGCN-2019-mxnet

  ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

  Language:Python380239

• leilin-research/GCGRNN

  Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)

  Language:Python3111

• zhiyongc/Graph-Markov-Network

  Graph Markov Network for Traffic Forecasting with Missing Data

  Language:Jupyter Notebook2713

• zhengchuanpan/GMAN

  GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

  Language:Python399105

• tijsmaas/TrafficPrediction

  This repository combines recent works in deep learning spatio-temporal traffic prediction.

  Language:Python265

• Schmidtbit/Bus-Route-Optimization

  Language:Jupyter Notebook309

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.3k6k

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.4k423

• Edragon/openwrt

  Language:C1518

• gdroguski/GaussianProcesses

  Python3 project applying Gaussian process regression for forecasting stock trends

  Language:Python14332

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

  Language:CSS9.7k1.1k

• canyilu/Tensor-Robust-Principal-Component-Analysis-TRPCA

  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm

  Language:MATLAB8630

• canyilu/tensor-completion-tensor-recovery

  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization

  Language:MATLAB2313

• xinychen/geotensor

  Geometric low-rank tensor completion for color image inpainting.

  Language:Jupyter Notebook4113

• Vadermit/Learning-machine-learning

  A self coded python notebook repository for machine learning

  Language:Jupyter Notebook3

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.3k15k

• xinychen/tensor-learning

  Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

  Language:Jupyter Notebook20150

• Vadermit/TransPAI

  Transportation data online prediction

  Language:Jupyter Notebook459

• xinychen/awesome-latex-drawing

  Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

  Language:TeX1.2k154