• 1
• 0
• 0

ccfgtt7071018/netron

Visualizer for neural network, deep learning, and machine learning models

• 1
• 0
• 0

ccfgtt7071018/exp-trmf-nips16

Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.

• 1
• 0
• 1

ccfgtt7071018/ARIMA-LSTM-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

• 1
• 0
• 0

ccfgtt7071018/Stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

• 1
• 0
• 0

ccfgtt7071018/transdim

Machine learning for transportation data imputation and prediction.

• 1
• 1
• 0

ccfgtt7071018/LSTM-FCN

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

• 1
• 0
• 0

ccfgtt7071018/tensor-learning

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

• 1
• 0
• 0

ccfgtt7071018/Boosted_HP_filter

Accompanying functions for Peter Phillips and Zhentao Shi (2019): "Boosting: Why You Can Use the HP Filter"

• 1
• 0
• 0

ccfgtt7071018/neural_regression_discontinuity

In this repository, I modify a quasi-experimental statistical procedure for time-series inference using convolutional long short-term memory networks.

• 1
• 0
• 0

ccfgtt7071018/time_series_data_mining

TensorFlow Probability；Time series model

• 1
• 0
• 0

ccfgtt7071018/dl-4-tsc

Deep Learning for Time Series Classification

• 1
• 0
• 1

ccfgtt7071018/stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

• 1
• 0
• 0

ccfgtt7071018/Machine-Learning

Self-implemented machine learning algorithm

• 1
• 4
• 1

ccfgtt7071018/MachineLearning_Zhouzhihua_ProblemSets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

• 1
• 0
• 0

ccfgtt7071018/nltk_data2

• 1
• 0
• 0

ccfgtt7071018/nltk_data1

• 1
• 0
• 0

ccfgtt7071018/nltk_data

NLTK Data