Topic: resnet-101 Goto Github
Some thing interesting about resnet-101
Some thing interesting about resnet-101
resnet-101,Melanoma Classification using Semi-supervised learning
User: 01-vyom
resnet-101,This project was made for nails segmentation using deep learning models. __DeepLabV3Plus__ was used for segmentation problem. ResNet101 were used as encoder and imagenet weights were used as encoder weights.
User: ademakdogan
resnet-101,Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land cover into various other categories as well as shown in the Sample predicted results.
User: akash-ramjyothi
resnet-101,Pre-trained 3D CNNs
User: amir-ebrahimi66
resnet-101,[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
User: amirzenoozi
resnet-101,AI Models Implementation on Tensorflow
User: amirzenoozi
resnet-101,Detecting phenotypic traits such as leaf and collar count in soybean plants using deep learning
User: anguyen216
resnet-101,CNN to classify birds belonging to 225 classes using transfer learning.
User: anuragmishra2311
resnet-101,Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection
User: ashishtrivedi16
resnet-101,"Derin Öğrenme Teknolojisi ile Beyin Tümörü Tespiti ve Segmentasyonu" konusu ele alınmış olup, tümörü kolaylıkla ve yüksek doğrulukta tespit edebilen bir bilgisayar destekli tümör tespit sistemi geliştirilmiştir.
User: aysekonus
Home Page: https://github.com/aysekonus/BrainTumorSegmentation
resnet-101,"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.
User: claudiotancredi
resnet-101,"Machine learning in applications" project @ Politecnico di Torino, a.y. 2021/2022.
User: claudiotancredi
resnet-101,Implementation of ResNet series Algorithm
Organization: deep-learning-algorithm
resnet-101,Build a image classification python web app with Streamlit and PyTorch :cat: :dog:
User: dehaoterryzhang
resnet-101,semantic-segmentation
User: ehsanr47
resnet-101,Using deep learning models to detect brain tumors (part of Samsung Innovation Campus program)
User: iinjyi
Home Page: https://mercury-i-brain-tumor-detection.streamlit.app/
resnet-101,AI Powered Covid-19 Intelligent Detector made by using Flask and CNN.
User: innocent-charles
Home Page: https://innocentcharles.com/
resnet-101,Drone Instance Segmentation using Mask RCNNN
User: jakariaemon
resnet-101,An unofficial DeepLabV2 with the pre-train weight of ImageNet.
User: johnnylu305
resnet-101,This is an implementation of ResNet-50/101/152.
User: johnnylu305
resnet-101,Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
User: junshengfu
resnet-101,PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
User: kimrass
resnet-101,Live Image Classification
User: kiritigowda
Home Page: https://kiritigowda.github.io/MIVisionX-Classifier/
resnet-101,Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention
User: laurentveyssier
resnet-101,
User: lcrss
resnet-101,resnet(-v2) tensorflow
User: lynnho
resnet-101,Region Detection in Receipts
User: malihasameen
resnet-101,DeepLabV2-ResNet101 implementation in TensorFlow and python 3
User: minar09
resnet-101,classification on diabetic retinopathy images
User: moggirain
resnet-101,Explainable Image Caption Bot: Gives captions for images with explanations for each word in the caption (The part of the image where the AI model looks to generate a word). Uses Seq-to-Seq with attention model
User: mrfahrenhiet
Home Page: https://share.streamlit.io/mrfahrenhiet/explainable_image_caption_bot/app_streamlit.py
resnet-101,BizzWatch - An app that analyses camera/video footage to audit business revenue and customers behaviour.
User: mwansamwango
resnet-101,PyTorch implementation of "Pyramid Scene Parsing Network".
User: nikronic
resnet-101,Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Organization: oist
resnet-101,Implementation of resnet.
User: ponpon010548
resnet-101,An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
User: potterhsu
resnet-101,An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
User: potterhsu
resnet-101,A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.
User: priyathamhub
resnet-101,Contains my experiments for Intel's Scene Classification challenge
User: sayakpaul
resnet-101,Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.
User: skumarr53
resnet-101,Click below to checkout the website
User: somenath203
Home Page: https://huggingface.co/spaces/som11/satellite_image_classification
resnet-101,Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
User: statisticszhang
resnet-101,The objective of this project is to classify explicit content that contains inappropriate images like pornography and Hentai. The classifier used for this is ResNet50 and ResNet101 also known as Residual Neural Network. There are five categories that the model is trained on which are Porn, Hentai, Sexy, Drawing, and Neutral. Porn, Hentai, and Sexy can be classified as NSFW (Not Safe For Work) further and the other two are SFW (Safe For Work).
User: sumitm0432
resnet-101,MATLAB Fashion Classification with Deep Learning.
User: taliegemen
resnet-101,Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
User: vktr274
resnet-101,
User: wahid229
resnet-101,Implementation of DeepLabv3 in TensorFlow
User: wanjinchang
resnet-101,Project to create a web app that detects and counts humans in images and videos. Currently experimenting with 2 ML models: Pointrend (ResNet backbone) & OpenCV's HOG descriptor
User: yash2108
resnet-101,My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
User: yeonwoosung
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