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5minutesofpython

some python notebooks for fun

applieddeeplearningclass

Class Applied Deep Learning - Summer 2018

autokeras

accessible AutoML for deep learning.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

birdsclassification

data-science-template

A starter template for data science projects

decline-curve-analysis

deep-learning-course

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-exercises

deep-learning-exercises-2

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepnude_official

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

ert

growing-neural-cellular-automata

growing-neural-cellular-automata

harmonica

Forward modeling, inversion, and processing gravity and magnetic data

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

influencersinsocialnetworks

he goal of the challenge is to train a machine learning model which, for pairs of individuals, predicts the human judgement on who is more influential with high accuracy

laboratorio-dotcsv-twitch

Repositorio oficial del canal de Twitch.

lean-asset

machine-deep-learning-techniques

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.

machine-learning-projects

In this repository you can find different methods and algorithms about machine learning and predictive models

machine-learning-to-spectral-signatures

In this repository you can find different unsupervised methods and algorithms related with spectral signatures

madewithml

Learn how to responsibly deliver value with ML.

mlops

A project-based course on the foundations of MLOps with a focus on intuition and application.

models

Models and examples built with TensorFlow

moviesclassification

The main idea is build a deep neural network with images and text that can Classify a movie genre based on its plot and its poster.

nannyml_mlops

Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

notebooks

IPython Notebooks

ntm-tensorflow

"Neural Turing Machine" in Tensorflow