Antonio Soriano Tolosa's repositories
prototype_presence_control
POC - Prototype - Presence control - Person tracker - Face Recognition - People ReID
test_slick
test_slick
apache-spark
Apache Spark - A unified analytics engine for large-scale data processing
face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
isarn-sketches
Sketching data structures for scala, including t-digest
isarn-sketches-spark
Routines and data structures for using isarn-sketches idiomatically in Apache Spark
jupyter-ai
A generative AI extension for JupyterLab
jupyter_server
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
jupyterlab
JupyterLab computational environment.
kubespawner
Kubernetes spawner for JupyterHub
langchain
⚡ Building applications with LLMs through composability ⚡
mlflow
Open source platform for the machine learning lifecycle
notebook
Jupyter Interactive Notebook
pandas-ai
PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational
petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
polynote
A better notebook for Scala (and more)
pyspark-ai
English SDK for Apache Spark
python3-trepan
A gdb-like Python3 Debugger in the Trepan family
shapash
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
spark-tfrecord
Read and write Tensorflow TFRecord data from Apache Spark.
sparta-examples
Sparta 2.x examples: workflows, plugins, sdk, docker ...
stratio-metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
SynapseML
Simple and Distributed Machine Learning
TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning