garawalid Goto Github PK
Name: Walid Gara
Type: User
Company: @Carrefour-Group
Bio: Senior Data Engineer
Location: Paris
Walid Gara's Projects
autokeras
accessible AutoML for deep learning.
cloudera-spark
Mirror of Apache Spark
combine
Fast and scalable ETL
cx-flow
Checkmarx Scan and Result Orchestration
incubator-iceberg
Apache Iceberg (Incubating)
kafka-broker-k8s
Deploy a Kafka broker in 2 minutes - Kubernetes
koalas
Koalas: Pandas API on Apache Spark
lh-bloomfilter
Less Hash Bloom Filter
moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
multilingual-unsupervised-embeddings
Align two embeddings (EN - FR) using MUSE (Unsupervised)
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
parquet-mr
Apache Parquet
scikit-multiflow
A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.
seq-datasource-v2
Sequence Data Source for Apache Spark
spark
Apache Spark - A unified analytics engine for large-scale data processing
weka-trunk
Read-only mirror of the offical Weka subversion repository (trunk, aka developer version).
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