Elkoumy's Stars
unclebob/Episode-10-ExpenseReport
The Expense Report example from cleancoders.com episode 10
haifengl/smile
Statistical Machine Intelligence & Learning Engine
udacity/nd035-c1-spring-boot-basics-examples
gregpalmr/alluxio-on-emr
Launch Alluxio Data Orchestration on EMR with Presto, Spark, Hive and JupyterLab
Alluxio/alluxio
Alluxio, data orchestration for analytics and machine learning in the cloud
aws-samples/emr-trino-autoscale
aws/aws-emr-best-practices
A best practices guide for using AWS EMR. The guide will cover best practices on the topics of cost, performance, security, operational excellence, reliability and application specific best practices across Spark, Hive, Hudi, Hbase and more.
AISCIENCES/course-master-big-data-with-pyspark-and-aws
Master Big Data With PySpark and AWS
uvm-plaid/programming-dp
bookingcom/upliftml
UpliftML: A Python Package for Scalable Uplift Modeling
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
jihoon-yang/pm4pyspark-source
Bachelor Thesis by Jihoon Yang at PADS chair of RWTH Aachen University
tf-encrypted/tf-pjc
Bridge between TensorFlow and Google's Private Join and Compute library
meilof/pysnark
Library for programming zk-SNARKs directly in Python
scipr-lab/libsnark
C++ library for zkSNARKs
elibensasson/libSTARK
A library for zero knowledge (ZK) scalable transparent argument of knowledge (STARK)
lschoe/mpyc
MPyC: Multiparty Computation in Python
rdragos/awesome-mpc
A curated list of multi party computation resources and links.
google/private-join-and-compute
sunfish-prj/Platform-docs
Documentation of the SUNFISH platform
cda-group/arcon
State-first Streaming Applications in Rust
cda-group/arc
Programming Language for Continuous Deep Analytics
hazourahh/Cardinality-Metanome-Algorithms
Algorithms for cardinality estimation
Wookai/paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
HPI-Information-Systems/metanome-algorithms
Source code for several Metanome data profiling algorithms
streaming-with-flink/examples-scala
Stream Processing with Apache Flink - Scala Examples
mldbai/mldb
MLDB is the Machine Learning Database
FlinkML/flink-tensorflow
flink-tensorflow - TensorFlow support for Apache Flink
flytxtds/AutoGBT
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
PipelineAI/models
Sample Models for PipelineAI