buptpriswang,Qinlong Wang,github

pycharm_test

It is a test repository from windows 10 pycharm IDE

pymc

PyMC version 3 (PyMC 2 is in branch 2.3)

python-recsys

A python library for implementing a recommender system

ranklogistic

pairwise learning to rank with logistic regression

reinforcement-learning

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

reslve

A collection of snippets for modeling user interest in Wikipedia

sdp

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

seq2seq

Sequence to Sequence Learning with Keras

seq2seq_upgrade_tensorflow

Additional Sequence to Sequence Features for TensorFlow

seq2set-keras

implementation of http://arxiv.org/pdf/1511.06391v4.pdf in keras

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-text-tensorflow

:dango: SeqGAN implementation for generating text using an RNN.

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

sru-tensorflow

Training RNNs as fast as CNNs. An unofficial tensorflow implementation.

tensorflow

Open source software library for numerical computation using data flow graphs.

tensorflow-examples

TensorFlow tutorials and code examples for beginners

tensorflow-project-template

A best practice for tensorflow project template architecture.

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

tensorflow_with_latest_papers

Implementation of Newest RNN and Seq2Seq Features

tf-adaptive-softmax-lstm-lm

The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.

tf-export-test

Small test on how to train->freeze->quantize->import frozen, quantized graph and run inference

tf_rnnlm

Language Modeling with RNN using TensorFlow

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

tsf_nmt

Experiments recreating the Neural Machine Translation experiments with bidirectional encoder and attention modules.

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

universe-starter-agent

A starter agent that can solve a number of universe environments.

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