6311 Open source projects that are alternatives of or similar to Food 101 Mobile

Object classification with CIFAR-10 using transfer learning

🙄 Difficult algorithm, Simple code.

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

Efficient Learning of Augmentation Policy Schedules

猫狗大战

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

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

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.

food image to recipe with deep convolutional neural networks.

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.

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

A machine learning experiment

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

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

🍔

CNN image classifier implemented in Keras Notebook 🖼️.

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

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

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

Deep learning codes and projects using Python

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

Food detection and recommendation with deep learning

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

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Food Classification with Deep Learning in Keras / Tensorflow

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》)

Image Tampering Detection using ELA and CNN

Demo for CVPR 2017 paper

Grocy - Home Assistant Community Add-ons

org-mode exporter to Jupyter notebooks

電子書籍『仕事ではじめる機械学習』のサポートリポジトリです

YOLOv2 trained against custom dataset

Colabs for ML Day Tokyo

Learning human driver models from NGSIM data with imitation learning.

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

collaborative audio module for fast.ai

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

Implementation of different machine learning techniques

A tool for quickly training image classifiers in the browser

Pythonic Objects

A repo with tutorials for algorithms from scratch

Template-free prediction of organic reaction outcomes

Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.

A cheat sheet can be really helpful when you're trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well.

CCKS 2018 开放领域的中文问答任务 1st 解决方案

Dashboard template for Voilà based on GridStackJS

Code, documentation, and discussion around the MIMIC-CXR database

GCP Essentials for Bioinformatics Researchers

Created the contents of this repo originally for a workshop I gave at UCLA

People removal in images using Pix2Pix and YOLO.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

机器学习相关

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

HLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

Visualize 3DPeople Dataset