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arxiv.repo

A list of papers on arxiv that have published project code.

awesome-image-classification

A curated list of deep learning image classification papers and codes

classification_models

Classification models trained on ImageNet. Keras.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

curve-text-detector

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-with-googlecolab

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning

A deep neural network package for R

deeppheno

deepsegmentor

A Pytorch implementation of DeepCrack and RoadNet projects.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

face-aging-caae

Age Progression/Regression by Conditional Adversarial Autoencoder

facenet-pytorch-vggface2

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fmask-tool-ok

A set of command line utilities and Python modules that implement the ‘fmask’ algorithm

gee-python-api

Google Earth Engine Python API Document

gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

global-cropland-mapping

using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data

herbarium-phenology-dnn

DNN for phenological stage detection on herbarium specimens

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

landsurfacephenology_sentinel2

leaf-phenology

CNNRs method for identifying leaf phenology

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.