Pinned Repositories
araneae.reasoner
The core reasoner of the araneae project
babylon-argocd
babylon-eks-cluster
babylon-kubeflow
Machine Learning Toolkit for Kubernetes
babylon-notebooks
charts
Bitnami Helm Charts
paloul's Repositories
paloul/actor-framework
An Open Source Implementation of the Actor Model in C++
paloul/akka-log4j
Logging backend for Akka based on Log4j
paloul/araneae.reasoner
The core reasoner of the araneae project
paloul/babylon-argocd
paloul/babylon-eks-cluster
paloul/babylon-kubeflow
Machine Learning Toolkit for Kubernetes
paloul/babylon-notebooks
paloul/charts
Bitnami Helm Charts
paloul/araneae.deploy
Uses argocd to deploy all the necessary pieces for araneae into a Kubernetes cluster
paloul/araneae.platform
paloul/compute-cluster
Akka Compute Cluster for various things in Scala
paloul/docker-janusgraph
Docker container images for JanusGraph.
paloul/docker-kaldi-gstreamer-server
Dockerfile for kaldi-gstreamer-server.
paloul/gitignore
A collection of useful .gitignore templates
paloul/GPGOAP
General Purpose Goal Oriented Action Planning
paloul/gst-kaldi-nnet2-online
GStreamer plugin around Kaldi's online neural network decoder
paloul/janusgraph-docker
Yet another JanusGraph, Cassandra and Elasticsearch in Docker Compose setup
paloul/kaldi
This is now the official location of the Kaldi project.
paloul/kaldi-gstreamer-server
Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.
paloul/lithium
Lithium - A split-brain resolver for Akka-Cluster
paloul/logback-kafka-appender
Logback appender for Apache Kafka
paloul/ls-deployment
paloul/lucida
Speech and Vision Based Intelligent Personal Assistant
paloul/saas-starter-kit
🔥 Enterprise SaaS Starter Kit - Kickstart your enterprise app development with the Next.js SaaS boilerplate 🚀
paloul/scalapy-numpy
Static facades for using NumPy in ScalaPy
paloul/securra-deployment
paloul/StockPrediction
Plain Stock Close-Price Prediction via Graves LSTM RNNs
paloul/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.
paloul/ta4j
A Java library for technical analysis.
paloul/Test-stock-prediction-algorithms
Use deep learning, genetic programming and other methods to predict stock and market movements