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Repo for counting stars and contributing. Press F to pay respect to glorious developers.
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
PyTorch android examples of usage in applications
Anomaly detection library based on singular spectrum transformation(sst)
TensorFlow code and pre-trained models for BERT
simplify the prediction process for a finetuned bert model
A Tensorflow implementation of Capsule Networks
CTR prediction using FM FFM and DeepFM
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
An Engine-Agnostic Deep Learning Framework in Java
Deep Learning for Time Series Classification
Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow
DQN implementation in Keras + TensorFlow + OpenAI Gym
This repository containes all scripts & data to reproduce the results of my study presented at the EGU 2017
Fast neural style in tensorflow based on http://arxiv.org/abs/1603.08155
A tensorflow implementation for fast neural style!
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Keras implementations of Generative Adversarial Networks.
Minimal, clean example of lstm neural network training in python, for learning purposes.
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 Chevalier
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Metis is a learnware platform in the field of AIOps.
Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!
Models built with TensorFlow
Python - 100天从新手到大师
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Config files for my GitHub profile.
A flexible, high-performance serving system for machine learning models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.