OnTheRicky's Stars
tensorflow/models
Models and examples built with TensorFlow
microsoft/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
carpedm20/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
nfmcclure/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
GeneralMills/pytrends
Pseudo API for Google Trends
openai/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
guillaume-chevalier/seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
luigifcruz/pisdr-image
š„§ A SDR Linux Distro for the Raspberry Pi and other SBC. Compatible out of the box with multiple SDR.
hyunjun/bookmarks
ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
ilivans/tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
jiegzhan/multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
openai/iaf
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Naresh1318/Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
jiegzhan/multi-class-text-classification-cnn
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
tokestermw/tensorflow-shakespeare
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
gm-spacagna/deep-ttf
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
mirceamironenco/BayesianRecurrentNN
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
JonathanRaiman/tensorflow-infogan
:dolls: InfoGAN: Interpretable Representation Learning
ymcui/Eval-on-NN-of-RC
Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension
natashamjaques/MultimodalAutoencoder
Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"
kinni/char-cnn-text-classification-tensorflow
Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews.
lipiji/variational-autoencoder-theano
Variational Autoencoders (VAEs) in Theano for Images and Text
Fematich/tftransform-demo
tf.Transform example for building digital twin with Apache Beam and Tensorflow
LedgerHQ/android-u2f-bridge
Generic support for USB U2F tokens on Android
Kensuke-Mitsuzawa/DocumentFeatureSelection
A set of metrics for feature selection from text data
sunmkim/lfc-tweet-analysis
Collect and analyse tweets about Liverpool FC.
manishanker/cnn_text_classification
Build a model which automatically classifies an article under Finance, Law, Fashion and Lifestyle, using the data from leading magazines for training the model.