Work in process, and there will be more models in the future ...
You are more than welcome to send an email to me in English / Chinese for any suggestion or question, I will try my best to answer as soon as I see it.
First get the project folder
git clone https://github.com/zhedongzheng/finch.git
Then run the test file that you are interested in
The main dependence is:
Other Language Support
Style of My Code
Most deep learning projects on GitHub usually have several scripts such as
main.py and so on. However, personally I prefer integrating all the functionalities into a single model with
predict() interfaces (scikit-learn API style), and then write separate test files for different incoming data. All the code below follow this style.
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
Support Vector Machine
Generative Adversarial Network
Natural Language Processing
Sklearn | TF-IDF + Logistic Regression IMDB Test |
TensorFlow | Bi-directional LSTM + CRF Model
Sequence to Sequence
TensorFlow | Dynamic Seq2Seq Model
TensorFlow | Dynamic Seq2Seq + Bi-directional Encoder Model
TensorFlow | Dynamic Seq2Seq + Attention Mechanism Model