An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
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Updated
Jul 3, 2020 - Python
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
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.
Build a image classification python web app with Streamlit and PyTorch 🐱 🐶
This is an implementation of ResNet-50/101/152.
PyTorch implementation of "Pyramid Scene Parsing Network".
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
An unofficial DeepLabV2 with the pre-train weight of ImageNet.
Implementation of DeepLabv3 in TensorFlow
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
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
Melanoma Classification using Semi-supervised learning
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)
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
AI Models Implementation on Tensorflow
Detecting phenotypic traits such as leaf and collar count in soybean plants using deep learning
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