An exon-intron boundary prediction DL method utilizing physicochemical properties of DNA

A 3D ConvNet for Reticular Chemistry.

Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.

PyTorch 3D CNN capable of identifying and classifying a subset of 3D models from the ShapeNet dataset.

New video augmentation suited for thermal videos

Semantic segmentation of the connectomics volume with limited amount of labeled data. It is my research project at TU Dresden.

Building DNNs with volumetric MRI data in pytorch

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

This repository has been integrated in https://github.com/DeepRank/deeprank2

Pseudo-3D CNN networks in PyTorch.

Video processing 🎥 with 3DCNN and Attention mechanism

Official implementation of article "Spectrogram-frame linear network and continuous frame sequence for bird sound classification".

Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions

MRI-based semi-automated detection of ACL(Anterior Cruciate Ligament) injury using PyTorch

Simple implementation of 2048 in python. Command line and pygame interface.

3D CNN based video classification android application. Transcribes lip movements of the speaker in a silent video to text. The neural network captures spatio temporal information from video required to generate words from video. MLOps using Vertex AI was used to deploy the model in a CI/CD fashion on android app