Quick-Start

Installation Guide

Now deepmatch supports Python >=3.7 and is tested with TensorFlow 1.15 and TensorFlow 2.x.

DeepMatch does not pin or install TensorFlow for you. Install a TensorFlow build that matches your Python, NumPy, CPU/GPU, and operating system first, then install DeepMatch:

$ pip install tensorflow
$ pip install deepmatch

For GPU environments, install the TensorFlow package recommended for your CUDA, cuDNN, and platform combination, then install deepmatch.

For Python >=3.9, DeepMatch and its dependencies allow modern h5py releases with h5py>=3.7.0. If TensorFlow reports a NumPy conflict, follow the TensorFlow requirement for your selected TensorFlow release, for example using numpy<2 when required by TensorFlow.

Use public tensorflow.keras APIs in your own code. Avoid mixing tensorflow.python.keras with tensorflow.keras, because tensorflow.python.* is private TensorFlow API and can break model serialization or optimizer/metric loading across TensorFlow versions.

Install from source

$ git clone https://github.com/shenweichen/DeepMatch.git
$ cd DeepMatch
$ pip install .

Run examples !!

• Run models on MovieLen1M in Google colab

• YoutubeDNN/MIND with sampled softmax

• SDM with sampled softmax

• DSSM with in batch softmax

• DSSM with negative sampling