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neural-odes-segmentation

Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

neural-ordinary-differential-equations

Sample implementation of Neural Ordinary Differential Equations

novelty-detection

Latent space autoregression for novelty detection.

object-counter-using-opencv-instance-segmentation

Object Counter using Opencv Instance Segmentation - Mask R-CNN

object-detection-and-distance-measurement

Using yolov3 pre-trained weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

octaveconv_pytorch

Pytorch implementation of Octave convolution

open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

opencv-practice

orcidlink-latex-command

LaTeX style file to add a macro for inserting a linked ORCiD logo

over-parametrization

Computing various norms/measures on over-parametrized neural networks

paper-gestalt

Deep Paper Gestalt

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pcv

Open source Python module for computer vision

planercnn

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

plant_disease_detection

Plant Disease Detector Web Application

plotneuralnet

Latex code for making neural networks diagrams

post--building-blocks

The Building Blocks of Interpretability

practical-computer-vision

Practical Computer Vision, published by Packt

prettyplots

prm

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pwc

Papers with code. Sorted by stars. Updated weekly.

pwcforeveryone

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-snippets

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cam

Class Activation Mapping written in PyTorch.

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)