al3xl0g0's repositories
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
model-leaf_HU
Dev project AgriNet utils for dataset improvement and correlation
image_classifier_project
To create image classifiers to classify plant species into 102 categories. For this, two popular pre-trained deep learning models have been used. VGG and Densenet. Finally, an application has been prepared to train the model on a new dataset and also to predict any new image on the trained classifier.
PlantVillage-Dataset
Dataset of diseased plant leaf images and corresponding labels
awesome-panoptic-segmentation
Panoptic Segmentation Resources List
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
meshroom
3D Reconstruction Software
PanopticSegmentation
PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.
densebody_pytorch
PyTorch implementation of CloudWalk's recent work DenseBody
SoftRas
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
digipathos
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
couptrap-sb-an
Coupon System: Spring Boot Backend & Angular Frontend
Recommenders
Recommender Systems
Plant-diseases-classifier
Artificial Intelligence app that detects diseases in plants using a deep learning model
MyFilter
ServletFileter
Final_x_1_course
Course
spring08022019
CW SPRING DB
jb35640-11
a jb35640-11 stuff
hub
A library for transfer learning by reusing parts of TensorFlow models.
colabtools
Python libraries for Google Colaboratory