justbeat99's repositories
Jointly-modeling-transfer-learning-of-industrial-chain-information-and-deep-learning-for-stock-predi
the ralated files of Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
lime
Lime: Explaining the predictions of any machine learning classifier
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
Daily-Stock-Data-Set
Daily stock data set, including 000001, 000004, 399011, 600601 and 600615 from China Stock Market. All data is collected and preproccessed by Dingming Wu, ICRC, Harbin Institute of Technology, Shenzhen.
PyTorch-Tutorial
Build your neural network easy and fast
Python-ELM
Extreme Learning Machine implementation in Python
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
pywt
PyWavelets - Wavelet Transforms in Python
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
CapsNet
A pytorch implementation of Capsule Network.
TCN
Sequence modeling benchmarks and temporal convolutional networks
code
各个经典深度学习模型与经典数据集的搭配实战
attentioned-dual-stage-stock-prediction
By PyTorch
pytorch-attention
pytorch neural network attention mechanism
PyTorch-Batch-Attention-Seq2seq
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
Diebold-Mariano-Test
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
representation-learning
Unsupervised Deep Learning and Representation Learning Tutorial
rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano