neuralnetworkresearch Goto Github PK

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

effectivepython

Effective Python: Second Edition — Source Code and Errata for the Book

examples

A repository to host extended examples and tutorials

feature_engine

Feature engineering package with sklearn like functionality

foundation-of-the-r-workflow-workshop-2019-09-06

Introduction to the Foundation of the R Workflow - Tidyverse, Notebooks & R Markdown

hands-on-deep-learning-algorithms-with-python

Hands-On Deep Learning Algorithms with Python, By Packt

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

incremental_learning.pytorch

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

interpretable-ml-book

Book about interpretable machine learning

kaggle-bengali.ai-handwritten-grapheme-classification-2020-solution

https://www.kaggle.com/c/bengaliai-cv19/leaderboard

kaggle_homedepot

Turing Test's 3rd Place Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

kubernetes-certified-administrator-prep-guide

Certified Kubernetes Administrator (CKA) Preparation Guide - Curriculum V1.14

kubernetes-gpu-guide

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

learning

Becoming better at data science every day

ltfs-data-science-finhack2

machine-learning-collection

A resource for learning about Machine learning & Deep Learning from Aladdin Persson

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-3

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlopspython

MLOps using Azure ML Services and Azure DevOps

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

n-beats-servicenow

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

olt-mlflow

O'Reilly Online Training Materials for MLflow

open-source-machine-learning-degree

Learn machine learning for free, because free is better than not-free.

pharmasug-shiny-prod