6261 Open source projects that are alternatives of or similar to Alpha_pooling

Deep learning codes and projects using Python

🙄 Difficult algorithm, Simple code.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

CNN image classifier implemented in Keras Notebook 🖼️.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

tensorflow implementation of Grad-CAM (CNN visualization)

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

food image to recipe with deep convolutional neural networks.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Efficient Learning of Augmentation Policy Schedules

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Image Tampering Detection using ELA and CNN

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

A machine learning experiment

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

# This is a image classification by VGG16 pre-trained model.#

Pre-trained VGG-Net Model for image classification using tensorflow

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Food Classification with Deep Learning in Keras / Tensorflow

Implementation of Neural Image Captioning model using Keras with Theano backend

Object classification with CIFAR-10 using transfer learning

猫狗大战

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Deep-learning seismic facies on state-of-the-art CNN architectures

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Kaggle Data Science Bowl 2018

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Best Practices, code samples, and documentation for Computer Vision.

Código e dados para a matéria "O que 15 mil tweets revelam sobre seu candidato" || Code and data for the story "What 15k tweets show about your candidate"

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Verify Estonian e-id signatures on Ethereum

Machine Learning for Economics

Training Toolbox for Caffe

Slides produced by Engineers and Data Scientists of Blue Yonder

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Anonymization methods for network security.

Topic modeling with BigARTM: an interactive book

밋업 자료

Numerical & Scientific Computing with Python Tutorial

Build a neural network to code a basic a HTML and CSS website based on a picture of a design mockup.

A 2-unit decal run by [email protected]'s education team

Supplementary materials for course "Pattern Recognition and Machine Learning" at

All my Lecture Notes, Assignments and Past Exam material.

Musical data transmission

Doublet detection in single-cell RNA-seq data.

Talks & Workshops by the CODAIT team

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Entry for machine learning

Introduction to Probability and Statistics

AI Video Processing/Upscaling With VapourSynth in Google Colab

Keras implementation of sketch inversion using deep convolution neural networks (synthesising photo-realistic images from pencil sketches)

This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.