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ml_lab

ml_math

This repo contains resources from our MLT math lectures.

ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

ml_web_app

This is a Machine Learning Web Application Built Using Streamlit framework of Python and I have developed this while doing course "Build a Machine Learning Web App with Streamlit and Python" from Coursera

mlflow_tutorial

Managing machine learning life-cycle with MLflow tutorial

mlhep2019

MLHEP'19 slides and notebooks

mlhep2020-assignments

mlhep2020-black-box

A competition for the MLHEP 2020 summer school.

mli-resources

H2O.ai Machine Learning Interpretability Resources

mlops

MLOps examples

mlops-1

Modular and minimalistic MLOps recipes

mlops-pipeline

mlops2020

mlos

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.

mlq

Asynchronous queue for machine learning jobs

mlu-mlops-lab

model-productization_article

This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices

model_deployment

A collection of model deployment library and technique.

montecarlo_simulations

mrcnn_serving_ready

🛠 Converting Mask R-CNN Keras model to Tensorflow model and Serving model

mtmt

Tensor-based Temporal Multi-Task Survival Analysis

multiclass-semantic-segmentation

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]

multiclass-semantic-segmentation-camvid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

multimodal-toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

music-audio-tagging-at-scale-models

Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"

music-lyrics-nlp

musicnn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

mvtae-multivariate-temporal-autoencoder

This code demonstrates a multi-branch deep neural network approach to tackling the problem of multivariate temporal sequence prediction by modelling a latent state vector representation of data windows through the use of a recurrent autoencoder and predictive model.