HuiBinR's Stars
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
thundergolfer/reasoning-about-entailment-tensorflow
:school: Tensorflow implementation of "Reasoning About Entailment with Neural Attention"
cydonia99/rnn_variants_tensorflow
Implementation of variants of recurrent neural networks(GRU/LSTM) in Tensorflow.
dodola/Gitbook
收录找到的不错的文档
google/active-learning
google/prettytensor
Pretty Tensor: Fluent Networks in TensorFlow
brightmart/text_classification
all kinds of text classification models and more with deep learning
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
protocolbuffers/protobuf
Protocol Buffers - Google's data interchange format
semantic-systems/NLIWOD
Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.
luanfujun/deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
lining0806/PythonSpiderNotes
Python入门网络爬虫之精华版
UKPLab/deeplearning4nlp-tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
jhao104/proxy_pool
Python ProxyPool for web spider
LantaoYu/SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
karthikncode/nlp-datasets
A list of datasets/corpora for NLP tasks, in reverse chronological order.
tensorflow/models
Models and examples built with TensorFlow
nicolas-ivanov/debug_seq2seq
[unmaintained] Make seq2seq for keras work
farizrahman4u/seq2seq
Sequence to Sequence Learning with Keras
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
HuiBinR/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.