edibhamzaarslan Goto Github PK

4d-sight-computer-vision-test

classification-of-malaria-cell-images

In this project my aim is using 3 different pretrained model to classify NIH dataset. They are Xception, Resnet152V2 and InceptionResNetV2

community-starter-kit

Test

cycnn

dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

disease-classification-api

The machine learning project on Flask API.

easytorch

The library of abstraction of some pytorch functions

face2vec-with-celebadataset

Object oriented implementation with Tensorflow 2

faster_rcnn_from_scratch_tensorflow2

github-slideshow

A robot powered training repository :robot:

github-upload

image-inpainting-project-based-on-cvpr-2020-oral-paper-on-hifill---tensorflow-2.5-version

ivy

The Unified Machine Learning Framework

l-gcnn

Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images

ml-cvnets

CVNets: A library for training computer vision networks

oneshotlearning-with-face2vec

I took face2vec model from this repository https://github.com/EdibHamzaArslan/Face2Vec-with-CelebaDataset. It's my implementation from SlimCnn paper.

pyspark-classification-and-clustring

raft-stereo

real-time-deep-hair-matting-on-mobile-devices

https://arxiv.org/abs/1712.07168

sklearn-classification-and-clustring

tensorflow-course

yolov3

Yolov3 custom implementation