Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Use BERT as the encoder and GPT2 as the decoder for machine translation.

A Flexible and Powerful Parameter Server for large-scale machine learning

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

A recurrent neural network for generating little stories about images

A few data mining algorithms in pure python

Tensors and Dynamic neural networks in Python with strong GPU acceleration

DyNet: The Dynamic Neural Network Toolkit

基于char-rnn和tensorflow生成周杰伦歌词

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

A simple GBDT in Python

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Minimal, clean example of lstm neural network training in python, for learning purposes.

LSTM Neural Network in Python and Cython, used for language modelling

An LSTM for time-series classification

🔬 Nano size Theano LSTM module

LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Demonstration of recurrent neural network implemented with Theano

CNNs for sentence classification

Convolutional Neural Network for Text Classification in Tensorflow

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…

Python interface to Google word2vec

https://github.com/dmlc/xgboost

A simple short-text classification tool based on LibLinear

LIBLINEAR -- A Library for Large Linear Classification

LIBSVM -- A Library for Support Vector Machines