maybeee18 Goto Github PK

great-expectations-workshop-pydata

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

gwu_data_mining

Materials for GWU DNSC 6279 and DNSC 6290.

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

h2o.ai-meetup-repository

Slides and code examples for H2O tutorials at various events

hackerrank

Hacker Rank solutions

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

hacking-medium-headlines

Predicting claps from Medium headlines.

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

hands-on-meta-learning-with-python

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

handson-ml

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

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.

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

heroku-ml-deployment

Heroku ML Deployment

hidden_markov

Implementation of the Hidden Markov Model

hiring-notebooks

contains hiring notebook solutions

holoviews

With Holoviews, your data visualizes itself.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hydra

A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments

hyper-parameter_optimization

Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)

hyperparameter_tuning

A collection of Hyper parameter tuning library.

id-card-segmentation

Segmentation of ID Cards using Semantic Segmentation

idgl

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

image-outpainting

🏖 Keras Implementation of Painting outside the box

image_classification

image_similarity

Image Similarity Search in PyTorch

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

in-quiz-questions

Linkedin quiz assessment, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

indoor-movement-prediction

Predicting user movements from temporal streams of RSS (Radio Signal Strength) measured between the nodes of a WSN (Wireless Sensor Network WSN)