Timos Kouloumpis's repositories
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
100-Days-Of-ML-Code
100 Days of ML Coding
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
aredis
An efficient and user-friendly async redis client
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-data-engineering
A curated list of data engineering tools for software developers
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
clikraken
Command-line client for the Kraken exchange
datascience-ai-machinelearning-resources
A curated set of resources for artificial intelligence (AI), machine learning, data science, big data, internet of things (IoT), and more.
dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
FXCMTickData
FXCM Tick data that will be updated weekly.
horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
Identify-Fraud-using-Machine-Learning
Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.
lambda-refarch-streamprocessing
Serverless Reference Architecture for Real-time Stream Processing
nogil
Multithreaded Python without the GIL
pyspark-examples
Code examples on Apache Spark using python
Python
All Algorithms implemented in Python
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
spark-redis
A connector for Spark that allows reading and writing to/from Redis cluster
sport.db.admin
sport.db web app - Open Sports Database Web Admin Tool in Ruby on Rails (version 5.2 and up)
tensorboard
TensorFlow's Visualization Toolkit
tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.