dense

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

Implementation of Artificial Neural Networks using NumPy

A QT tool used to annotate temporal segments of a video with events which each have unique and customisable information.

Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)

Upsampling method for an input cloud using mls method of PCL 1.9.1

Cholesterol is calculated from the given set of data.

Continuation of the original pimd-dense from 1998-1999, gaps filled with frog DNA from pimd

PIM-DM multicast routing protocol implementation (RFC3973)

A subpixel dense refinement U-NET like architecture for Vessel Segmentation from Retinal fundas images

Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.

A Fast, Extensible Trainer and Extensions for Pytorch

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

Implementation of a multicast routing protocol named HPIM-DM (dissertation work)

Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.

Keras implementation of Mixed-scale Dense Net (MS-D Net) object segmentation

A sparse map to dense vector container for C++

Hand written digit recognition model done with MNIST dataset using tensorflow keras library. the model can detect the handwritten number and achieved 97% accuracy with 10000 data samples provided with MNIST

人工智能大作业-Fashion数据集 分类

Building Convolution Neural Networks from Scratch

This Project is based on Neural Network to classify between Dogs and Cats.

Model building and testing using NN Back Propagation

Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions.

Implements the PatchMatch stereo algorihm. AVX2 intrinsics for Intel.

A simple code for creating your own custom layer in TensorFlow using Keras API. Here I have created the Dense layer same as the regular dense layer available in the Keras API.

Implementation of neural network in NumPy with Keras like interface

Software that generates a list of isolated stars in crowded fields. There are only two things required: an image in the FITS format and a list of all stars which have been found on this image.