a fast and user-friendly tool for transformer inference on CPU and GPU

A collection of useful .gitignore templates

Python bindings for the snappy google library

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

FFM (Field-Awared Factorization Machine) on Spark

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

ResNet model in TensorFlow

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Tensorflow and Keras Implementation of Very Deep Convolutional Neural Network for Text Classification

Tensorflow Implementation of Recurrent Convolutional Neural Network for Text Classification (AAAI 2015)

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

all kinds of text classificaiton models and more with deep learning

convert font ttc format to ttf format using python

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++

Text classification based on LSTM on R8 dataset for pytorch implementation

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Simple replicated softmax implementation based on deeplearning.net Theano RBM

Reference implementation of the NVIL algorithm for a simple Gaussian Mixture Model

Computation using data flow graphs for scalable machine learning

Sequence to Sequence Learning with Keras

CNNs for sentence classification