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jsvwhxj's Projects

algorithms

The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

circspacetime

Spatial and Spatio-Temporal Bayesian Model for Circular Data

cnn-bilstm-attention

Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)

cnn-bilstm-attention-time-series-prediction_keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

some overlapping community detection algorithms. Major contents are survey, algorithms' implementations, submodules, graph dataset benchmarks, evaluation metrics, scripts, some visualizations in Presentation folder.

copper_price_forecast

copper price(time series) prediction using bpnn and lstm

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvpr2020-code

CVPR 2020 论文开源项目合集

deep-learning-har

Convolutional and LSTM networks to classify human activity

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

df_jf

海上风场SCADA数据缺失智能修复 (冠军🏆)

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

dynare_prac

Practice problems of dynare (following https://m.tau.ac.il/~zvih/topics/Sargentetal07.pdf)

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

garchmidas

R package for GARCH-MIDAS

hacopula

Hierarchical Archimedean copulas for MATLAB and Octave

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.