5921 Open source projects that are alternatives of or similar to Cvpr2019_pyramid Feature Attention Network For Saliency Detection

Beakerx
Beaker Extensions for Jupyter Notebook
Stars: ✭ 2,594 (+941.77%)
Mutual labels:  jupyter-notebook
Godot oculus quest toolkit
An easy to use VR toolkit for Oculus Quest development using the Godot game engine
Stars: ✭ 207 (-16.87%)
Mutual labels:  jupyter-notebook
Recmetrics
A library of metrics for evaluating recommender systems
Stars: ✭ 244 (-2.01%)
Mutual labels:  jupyter-notebook
Python Examples
Python技术 公众号文章代码实例
Stars: ✭ 212 (-14.86%)
Mutual labels:  jupyter-notebook
Mydatascienceportfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-8.84%)
Mutual labels:  jupyter-notebook
Best Of Jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Stars: ✭ 200 (-19.68%)
Mutual labels:  jupyter-notebook
Malaya
Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
Stars: ✭ 239 (-4.02%)
Mutual labels:  jupyter-notebook
Deeplearning
Some practices about deep learning
Stars: ✭ 210 (-15.66%)
Mutual labels:  jupyter-notebook
Movie Plots By Genre
Movie plots by genre tutorial at PyData Berlin 2016
Stars: ✭ 230 (-7.63%)
Mutual labels:  jupyter-notebook
Mdrepo
Repositório para armazenamento de código e notebooks de postagens do blog e cursos.
Stars: ✭ 210 (-15.66%)
Mutual labels:  jupyter-notebook
Nodebook
Repeatable analysis plugin for Jupyter notebook
Stars: ✭ 249 (+0%)
Mutual labels:  jupyter-notebook
Graph convolutional lstm
Traffic Graph Convolutional Recurrent Neural Network
Stars: ✭ 210 (-15.66%)
Mutual labels:  jupyter-notebook
Applied Reinforcement Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-8.03%)
Mutual labels:  jupyter-notebook
Hindi2vec
State-of-the-Art Language Modeling and Text Classification in Hindi Language
Stars: ✭ 211 (-15.26%)
Mutual labels:  jupyter-notebook
Datascience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Stars: ✭ 239 (-4.02%)
Mutual labels:  jupyter-notebook
Noise2self
A framework for blind denoising with self-supervision.
Stars: ✭ 211 (-15.26%)
Mutual labels:  jupyter-notebook
Predicting winning teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 229 (-8.03%)
Mutual labels:  jupyter-notebook
Sttn
[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Stars: ✭ 211 (-15.26%)
Mutual labels:  jupyter-notebook
Human body prior
VPoser: Variational Human Pose Prior
Stars: ✭ 244 (-2.01%)
Mutual labels:  jupyter-notebook
Cartoframes
CARTO Python package for data scientists
Stars: ✭ 208 (-16.47%)
Mutual labels:  jupyter-notebook
Dsnd term1
Contains files related to content and project of DSND
Stars: ✭ 229 (-8.03%)
Mutual labels:  jupyter-notebook
Image manipulation detection
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
Stars: ✭ 210 (-15.66%)
Mutual labels:  jupyter-notebook
Iclr2021 Openreviewdata
Crawl & visualize ICLR papers and reviews.
Stars: ✭ 238 (-4.42%)
Mutual labels:  jupyter-notebook
Monthofjulia
Some code examples gathered during my Month of Julia.
Stars: ✭ 209 (-16.06%)
Mutual labels:  jupyter-notebook
Question Generation
Generating multiple choice questions from text using Machine Learning.
Stars: ✭ 227 (-8.84%)
Mutual labels:  jupyter-notebook
Simplified Deeplearning
Simplified implementations of deep learning related works
Stars: ✭ 2,389 (+859.44%)
Mutual labels:  jupyter-notebook
Spinzero Jupyter Theme
A minimal Jupyter Notebook theme
Stars: ✭ 246 (-1.2%)
Mutual labels:  jupyter-notebook
Book Resources
Stars: ✭ 209 (-16.06%)
Mutual labels:  jupyter-notebook
Weatherbench
A benchmark dataset for data-driven weather forecasting
Stars: ✭ 227 (-8.84%)
Mutual labels:  jupyter-notebook
3d Mri Brain Tumor Segmentation Using Autoencoder Regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Stars: ✭ 209 (-16.06%)
Mutual labels:  jupyter-notebook
Kaggle airbus ship detection
Kaggle airbus ship detection challenge 21st solution
Stars: ✭ 238 (-4.42%)
Mutual labels:  jupyter-notebook
Hardware introduction
What scientific programmers must know about CPUs and RAM to write fast code.
Stars: ✭ 209 (-16.06%)
Mutual labels:  jupyter-notebook
Statistics python codes
《统计学原理实验教程(Python)》书中代码实现。尽可能加注释,力求代码的可复用性。
Stars: ✭ 230 (-7.63%)
Mutual labels:  jupyter-notebook
Windrose
A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (-16.47%)
Mutual labels:  jupyter-notebook
2016 01 Tennis Betting Analysis
Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.
Stars: ✭ 244 (-2.01%)
Mutual labels:  jupyter-notebook
Workshop blog
Stars: ✭ 208 (-16.47%)
Mutual labels:  jupyter-notebook
Kagglestruggle
Kaggle Struggle
Stars: ✭ 228 (-8.43%)
Mutual labels:  jupyter-notebook
Dexplot
Simple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (-16.47%)
Mutual labels:  jupyter-notebook
End2end All Conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Stars: ✭ 236 (-5.22%)
Mutual labels:  jupyter-notebook
Neural differential equations
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Stars: ✭ 207 (-16.87%)
Mutual labels:  jupyter-notebook
Alphatools
Quantitative finance research tools in Python
Stars: ✭ 226 (-9.24%)
Mutual labels:  jupyter-notebook
Flaml
A fast and lightweight AutoML library.
Stars: ✭ 205 (-17.67%)
Mutual labels:  jupyter-notebook
Talks
Stars: ✭ 247 (-0.8%)
Mutual labels:  jupyter-notebook
Gluon Api
A clear, concise, simple yet powerful and efficient API for deep learning.
Stars: ✭ 2,322 (+832.53%)
Mutual labels:  jupyter-notebook
18335
18.335 - Introduction to Numerical Methods course
Stars: ✭ 228 (-8.43%)
Mutual labels:  jupyter-notebook
Lstm stock prediction
This is an LSTM stock prediction using Tensorflow with Keras on top.
Stars: ✭ 207 (-16.87%)
Mutual labels:  jupyter-notebook
Deeplung
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Stars: ✭ 238 (-4.42%)
Mutual labels:  jupyter-notebook
Osumapper
An automatic beatmap generator using Tensorflow / Deep Learning.
Stars: ✭ 207 (-16.87%)
Mutual labels:  jupyter-notebook
Coronavirus Epidemic Covid 19
👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Stars: ✭ 228 (-8.43%)
Mutual labels:  jupyter-notebook
Highres Net
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
Stars: ✭ 207 (-16.87%)
Mutual labels:  jupyter-notebook
Data Cleaning 101
Data Cleaning Libraries with Python
Stars: ✭ 243 (-2.41%)
Mutual labels:  jupyter-notebook
Pydata Book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Stars: ✭ 16,386 (+6480.72%)
Mutual labels:  jupyter-notebook
Naucse.python.cz
Website with learning materials / Stránka s učebními materiály
Stars: ✭ 248 (-0.4%)
Mutual labels:  jupyter-notebook
Mixture Density Networks For Distribution And Uncertainty Estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Stars: ✭ 249 (+0%)
Mutual labels:  jupyter-notebook
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1272.69%)
Mutual labels:  jupyter-notebook
Receptivefield
Gradient based receptive field estimation for Convolutional Neural Networks
Stars: ✭ 247 (-0.8%)
Mutual labels:  jupyter-notebook
Jupyter Tips And Tricks
Using Project Jupyter for data science.
Stars: ✭ 245 (-1.61%)
Mutual labels:  jupyter-notebook
Loss toolbox Pytorch
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Stars: ✭ 240 (-3.61%)
Mutual labels:  jupyter-notebook
Pandas Highcharts
Beautiful charting of pandas.DataFrame with Highcharts
Stars: ✭ 233 (-6.43%)
Mutual labels:  jupyter-notebook
Amazing Feature Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-12.45%)
Mutual labels:  jupyter-notebook
301-360 of 5921 similar projects