5921 Open source projects that are alternatives of or similar to Wptherml

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All the notebooks for the analysis of Emotional Arcs within the Project Gutenberg corpus, see "The emotional arcs of stories are dominated by six basic shapes"

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

QuAI is QNAP’s AI Developer Package, for data scientists and developers, to quickly build, train, optimize and deploy machine learning models, on top of QNAP NAS.

Sentiment Analysis with LSTMs in Tensorflow

Ansible role to setup jupyterhub server (deprecated)

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

Bayesian methods in deep learning Summer School

Handwritten text recognition with Keras

When performing data science tasks, it's common to want to use data found on the internet. You'll usually be able to access this data in csv format, or via an Application Programming Interface (API). However, there are times when the data you want can only be accessed as part of a web page. In cases like this, you'll want to use a technique called web scraping to get the data from the web page into a format you can work with in your analysis.

Entry for Grab's AI for S.E.A. challenge

An attempt to formalize my thoughts. A pythonic approach to mental housekeeping

Association Rule Mining from Spatial Data for Crime Analysis

Galaxy Cluster and Weak Lensing Tools

Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

Instructions for reproducing the research described in the paper "Tempo Estimation for Music Loops and a Simple Confidence Measure"

Collection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)

Compilado de cursos y material de capacitación en herramientas de IA y DataScience.

Deployment template for Azure WebApp, CNTK, Python 3 (x64) and sample model

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

deeplearn.js meets p5

Talk at scipy 2018: Interactive 3d Visualization in Jupyter

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Bicubic interpolation for PyTorch

I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

給想體驗如何在微軟AZ notebook上操作GPU及做圖像辨識(以MNIST資料集為例)

The fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.

A project for developing tutorials for Streams

Code for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"

Extract Polyphonic Musical Motives from Audio Recordings

Cooperative Cut is a Markov Random Field inference method with high-order edge potentials.

A set of Matlab/Octave files that performs a method of Nonlinear System Identification.

Notes and experiments to understand deep learning concepts

Merge and Acquisitions Prediction based on M&A information from Crunchbase.

A repo of sample data for our PyData Tutorial!

My solutions for Udacity's "Introduction to Computer Vision" MOOC

Overview of NLP tools and techniques in python

Contains solutions to AV competitions

My kaggle competition solution and notebook

支付宝 AR 红包 破解教程

An implementation for attention model in Keras for sequence to sequence model.

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

Empirical Study of Recent Face Alignment Methods

Presentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017

Mixtures of Probabilistic Principal Component Analysers implementation in python

Time Series Anomaly Detection Toolkit

J583 Advanced Interactive Media

Implementation of various generative models

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

S.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16

Pre-trained Mongolian BERT models

Package Installer (pip) UI for JupyterLab

Tutorials on Python Data Containers for no-so-BigData

Utility to generate plots with categorical variables using Altair.

Creating a stylised pseudo-3D exoplanet map using matplotlib