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  • šŸ‘‹ Hi, Iā€™m @israel_S_C
  • šŸ‘€ Iā€™m interested in AI, ML and NLP
  • šŸŒ± Iā€™m currently learning MSc in Computer science focusing in Big Data
  • šŸ’žļø Iā€™m looking to collaborate on AI projects and as a Python developer
  • šŸ“« How to reach me @LinkedIn https://www.linkedin.com/in/israel-serralvo-caballero/

israelSC's Projects

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jupyter-text2code icon jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

keywordanalysis icon keywordanalysis

Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends

klib icon klib

Easy to use Python library of customized functions for cleaning and analyzing data.

madewithml icon madewithml

Learn how to responsibly deliver value with ML.

medcattrainer icon medcattrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

mlflow icon mlflow

Open source platform for the machine learning lifecycle

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opengpt icon opengpt

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

privategpt icon privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

pycaret icon pycaret

An open-source, low-code machine learning library in Python

python icon python

All Algorithms implemented in Python

rstudio icon rstudio

Rstudio project/s for Data Science JHPs

shapash icon shapash

šŸ”… Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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