Elkinmt19
ML Engineer || B.S. Mechatronics Engineering @EIA-University || MLOps || Data Scientist || AWS + GCP
PRAGMA S.A. || EIA UniversityMedellín, Colombia
Elkinmt19's Stars
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
san99tiago/terraform-playground
My own public Terraform/Packer examples towards IaC deployments in AWS.
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
jupyterlab/jupyterlab-git
A Git extension for JupyterLab
zenml-io/zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
zenml-io/zenbytes
A simple guide to MLOps through ZenML and its various integrations.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
huggingface/course
The Hugging Face course on Transformers
Elkinmt19/mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
combust/mleap
MLeap: Deploy ML Pipelines to Production
aws/sagemaker-sparkml-serving-container
This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
Elkinmt19/amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
joanby/estadistica-inferencial
Estadística Inferencial para Machine Learning e Inteligencia Artificial con R y Python con los Drs R.Alberich y A.Mir
Kenza-AI/sagify
LLMs and Machine Learning done easily
awslabs/amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
iterative/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
jamalex/notion-py
Unofficial Python API client for Notion.so
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
IllariLaksmi/chicas-programadoras-proyecto-final
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
Elkinmt19/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Elkinmt19/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Elkinmt19/ml-engineering-dojo
:rocket: This is a repository to learn and gain more knowledge about ML Engineering and Data Science topics. :octocat:
Elkinmt19/Elkinmt19