An Engine-Agnostic Deep Learning Framework in Java

PyTorch android examples of usage in applications

Deep Learning for Time Series Classification

Metis is a learnware platform in the field of AIOps.

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Python - 100天从新手到大师

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume …

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(…

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Anomaly detection library based on singular spectrum transformation(sst)

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

A flexible, high-performance serving system for machine learning models

TensorFlow template application for deep learning

TensorFlow code and pre-trained models for BERT

PyTorch Implementation of StarGAN - CVPR 2018

Keras implementations of Generative Adversarial Networks.

CTR prediction using FM FFM and DeepFM

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

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.4 api，正在积极维护升级中，快star，保持更新！

DQN implementation in Keras + TensorFlow + OpenAI Gym

Tensorflow implementation of Restricted Boltzmann Machine

A Tensorflow implementation of Capsule Networks