er-vivekkumar Goto Github PK

foundation

Robot Framework Foundation web pages

gcca

Generalized Canonical Correlation Analysis

gcp_ml

google cloud machine learning engineer

github.me

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

go

The Open Source Data Science Masters

google_cloud_ai_ml

This repository contains code to learn AI and ML on Google Cloud Platform

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

gru-d

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

hands-on-natural-language-processing-with-pytorch-1.x

Hands-On Natural Language Processing with PyTorch 1.x, published by Packt

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.

heroku-deployment

homemade-machine-learning

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

idx2numpy_array

Convert data in IDX format in MNIST Dataset to Numpy Array using Python

image-sentiment-analysis

image-sentiment-analysis-1

Performing sentiment analysis to an image uploaded on to S3 using AWS Lambda and Rekognition

indicnlp_corpus

Description Describes the IndicNLP corpus and associated datasets

introtostatisticallearningr-

Work on Introduction to Statistical Learning

learning-ml-ai

Projects showcase for ML&AI

learning-styles-prediction

The objective of this study is to predict learners’ learning styles based on their learning traces. we analyzed data collected from the edX course “Statistical Learning" session Winter 2015 and Winter 2016), administered via Stanford’s Logunita platform

lstnet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

lstnet-1

lstnet-gluon

Time-series prediction with LSTNet in Apache MXNet Gluon

luminol

Anomaly Detection and Correlation library

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine-learning-for-learning-resources

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

matlab_iterativeinputselection_with_rtree-c

The MATLAB_IterativeInputSelection toolbox is a MatLab implementation of the Iterative Input Selection (IIS) algorithm proposed by Galelli and Castelletti (2013). The underlying model (i.e. Extremely Randomized Trees) are implemented in a more computationally efficient code.

matplotlib-tutorial

Matplotlib tutorial for beginner