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xiaodashijie's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

aistartups icon aistartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

char-rnn icon char-rnn

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

char-rnn-tensorflow icon char-rnn-tensorflow

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

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

disconf icon disconf

Distributed Configuration Management Platform(分布式配置管理平台)

drqa icon drqa

Reading Wikipedia to Answer Open-Domain Questions

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

iclr15 icon iclr15

Sentiment Analysis with Ensemble

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

matchzoo icon matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

neuralcoref icon neuralcoref

State-of-the-art coreference resolution based on neural nets and spaCy

openpose icon openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

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