Pinned Repositories
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Algorithms_Machine_Learning
ambari
Mirror of Apache Ambari
Anomaly_Detection
awesome-agriculture
Open source technology for agriculture, farming, and gardening
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
AWS
Bootstrap_estimation
mirrormaker_topic_rename
amoussoubaruch's Repositories
amoussoubaruch/mirrormaker_topic_rename
amoussoubaruch/awesome-agriculture
Open source technology for agriculture, farming, and gardening
amoussoubaruch/colab_notebooks
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
amoussoubaruch/confluent-platform-spark-streaming
Working example of consuming Avro data from Kafka with Spark Streaming
amoussoubaruch/Data-Science--Cheat-Sheet
Cheat Sheets
amoussoubaruch/datastream.io
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
amoussoubaruch/DeepLeaningPython
amoussoubaruch/dist-keras
Distributed deep learning with Keras and Apache Spark.
amoussoubaruch/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
amoussoubaruch/horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
amoussoubaruch/Image
image
amoussoubaruch/implicit
Fast Python Collaborative Filtering for Implicit Datasets
amoussoubaruch/kafka-manager
A tool for managing Apache Kafka.
amoussoubaruch/Kaggle_script
amoussoubaruch/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
amoussoubaruch/langchain
⚡ Building applications with LLMs through composability ⚡
amoussoubaruch/metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
amoussoubaruch/metaflow
Build and manage real-life data science projects with ease.
amoussoubaruch/ml-on-gcp
Machine Learning on Google Cloud Platform
amoussoubaruch/ML-Papers-Explained
Explanation to key concepts in ML
amoussoubaruch/Optimus
:truck: Agile Data Science Workflows made easy with Python and Spark.
amoussoubaruch/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
amoussoubaruch/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
amoussoubaruch/SparkSQLDataFederationDemo
Use Apache Zeppelin to setup SparkSQL as a distributed data federation platform.
amoussoubaruch/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
amoussoubaruch/streaming-ML-benchmark
Benchmarking for stream-processing platforms adapted for ML experiments
amoussoubaruch/tensorflow
Computation using data flow graphs for scalable machine learning
amoussoubaruch/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
amoussoubaruch/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
amoussoubaruch/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.