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awesome-deep-learning-papers

The most cited deep learning papers

caogang1213.github.io

cornernet

curve_smoothing

darknet

Convolutional Neural Networks

deepsocial

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fibonacci_sphere

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

gaussianprocesses.jl

A Julia package for Gaussian Processes

gitignore

A collection of useful .gitignore templates

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

high_mpc

Learning High-Level Policies for Model Predictive Control.

keras-retinanet

Keras implementation of RetinaNet object detection.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

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

monodepth2

Monocular depth estimation from a single image

pilco

Bayesian Reinforcement Learning in Tensorflow

sgolay2

Two-dimensional Savitzky-Golay filter

slate

Slate is a Jekyll theme for GitHub Pages

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tf-faster-rcnn-4c

modified scripts to allow tf-faster-rcnn library working with 4 channel images

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolo_segmentation

image (semantic segmentation) instance segmentation by darknet or yolo