6673 Open source projects that are alternatives of or similar to Crnn Pytorch

Detect novel anomalies on Twitter

Understanding Data and Machine Learning Models with Visualizations

Tutorial for working with binary black hole data. http://mybinder.org/repo/losc-tutorial/LOSC_Event_tutorial

Repository for *SEM Paper on Event Coreference Resolution in ECB+

Repository for the PyData DC 2016 tutorial

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

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.

This is the repo associated with the class 02805 "Social Graphs and Interactions" at the Technical University of Denmark

Implementation of ReSimNet for drug response similarity prediction

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

100 days of algorithms

My IJulia notebooks

Light-Head R-CNN

Notes and experiments to understand deep learning concepts

data analysis experiments in haskell and python

Classify the type of sports from images

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

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

Remix of Software Carpentry material using intermediate pandas lesson and concepts from the novice class

Solution to Kaggle - Web Traffic Time Series Forecasting

Introductory notes on environmental modelling and statistics

Talks from the UW Python for Geosciences Seminar

CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

Blender Environment for Gym (work in progress)

Empirical Study of Recent Face Alignment Methods

Project on Pattern Detection and Recognition using Deep Learning

Attempting to make the Deep Learning Book easier to understand.

J583 Advanced Interactive Media

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

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

Phy411 Time Series Analysis - University of Victoria

In-class exercises for Deep Learning course at NYC Data Science Academy

Set of functions required for NIRC2 preprocessing and VORTEX center determination

Bicubic interpolation for PyTorch

Introduction to natural language processing: How to write a spelling corrector

Take further steps in the arms race of adversarial examples with only preprocessing.

a repo for the cord19 challenge

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)

Machine learning discord bot , Detects diseases within seconds with just an xray scan

QA - Answer Selection (Rank candidate answers for a given question)

A project for developing tutorials for Streams

Cloudant integration with Spark as Spark SQL external datasource

Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"

Materials for a talk I gave to Metis Data Science Bootcamp on useful Jupyter Keyboard Shortcuts and Text Snippets

Extract Polyphonic Musical Motives from Audio Recordings

random pytorch hacks

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

STAT406 @ UBC - "Elements of Statistical Learning"

Learn Python for free using open-source notebooks in Hebrew.

Introductory QMC teaching material for Python

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Topic and material (if available) of the talks