Implementations of different variations of U-net - adding deconv layers, dense net variant and including skip connections

Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.

RoboND Term 1 Deep Learning Project, Follow-Me

Refer Readme.md

Replication of Jasper speech-to-text network using Intel optimized TensorFlow.

Reconstructing Medical Images using Generative model.

Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"

This is the official implementation of "Novel View Synthesis with Skip Connections" (ICIP 2020)

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net

Model Pipelines for GNNs, VAEs, Neural Style Transfer, and other kinds of models!

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

IEEE paper implementation of Single-View 2D-3D Reconstruction.

This repository contains the implementation of famous ResNet50 which is state of art technique for image classification

road and traffic segmentation with IoU metric and DICE coffecient

PyTorch Implementation of Hybrid Skip Connection for UNet

Code accompanying the paper: "Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture"

Implementation of Yolo v3 object detection fully convolutional neural network model in Tensorflow & Keras

The main goal of this project is to come up with an architecture having the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that model has no more than 5 million parameters.