6081 Open source projects that are alternatives of or similar to Strawberries

AI Video Processing/Upscaling With VapourSynth in Google Colab

https://arxiv.org/abs/1707.00836

Notes and experiments to understand deep learning concepts

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

J583 Advanced Interactive Media

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.

Pre-trained Mongolian BERT models

Service Classification based on Service Description

Bicubic interpolation for PyTorch

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

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

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

Content for my AGU 2017 presentations.

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

Package Installer (pip) UI for JupyterLab

Empirical Study of Recent Face Alignment Methods

Analogs of Linguistic Structure in Deep Representations

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

Mixtures of Probabilistic Principal Component Analysers implementation in python

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)

Example of implementing Isolation Forest in Python

Extract Polyphonic Musical Motives from Audio Recordings

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

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

deeplearn.js meets p5

Reproduced papers from the Reproducibility Zoo

Utility to generate plots with categorical variables using Altair.

Laboratoires du cours GLO-4030/GLO-7030

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

Pioneering the design of materials to harness heat.

Sentiment Analysis with LSTMs in Tensorflow

Slides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup

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

Contains solutions to AV competitions

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"

Web scraping, APIs, and Twitter

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

A GPU accelerated image and video processing framework built on Metal.

Bayesian methods in deep learning Summer School

word2vec workshop - a conceptual introduction and practical application

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

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

Creating a stylised pseudo-3D exoplanet map using matplotlib

Handwritten text recognition with Keras

Tutorials on Python Data Containers for no-so-BigData

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.

MNIST Clasification with Pytorch

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

Association Rule Mining from Spatial Data for Crime Analysis

Archive of presentations

Repo for Brain Networks course

Galaxy Cluster and Weak Lensing Tools

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

Deep Learning Tutorial in Python with Keras library