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.

This is an implementation of ResNet-50/101/152.

Build a image classification python web app with Streamlit and PyTorch 🐱 🐶

My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.

PyTorch implementation of "Pyramid Scene Parsing Network".

[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(-v2) tensorflow

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)

Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.

Implementation of ResNet series Algorithm

Detecting phenotypic traits such as leaf and collar count in soybean plants using deep learning

AI Models Implementation on Tensorflow

Real-time object detection and live stream analysis using Jetson Nano with TensorFlow Centernet ResNet_101 model, OpenCV, and RTSP stream integration.

Melanoma Classification using Semi-supervised learning