Benedetto05's Stars
tensorflow/models
Models and examples built with TensorFlow
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
deeplearning4j/deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
batzner/indrnn
TensorFlow implementation of Independently Recurrent Neural Networks
RobRomijnders/AE_ts
Auto encoder for time series
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
MiloMallo/Stock
Stock Market Prediction Using Unsupervised Features
Michedev/VAE_anomaly_detection
SchindlerLiang/VAE-for-Anomaly-Detection
MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
TUMFTM/Lecture_AI_in_Automotive_Technology
This is the github Repository that belongs to the lecture "Artificial Intelligence in Automotive Technology" from the Institute of Automotive Technology of the Technical University of Munich
Jkparkaist/IE801
KAIST ISYSE Game Theory with Engineering Applications
tyncho08/Data_Science_Resources
En este repositorio vas a encontrar contenido extra, tutoriales, links y mucho más, sobre Data Science.