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A faster pytorch implementation of faster r-cnn
COCO API - Dataset @ http://cocodataset.org/
Android classified applications using ElasticSearch
Deep Metric Learning
[EARLY RELEASE] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
Make COCO dataset / Kaggle airbus
[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior
Here I leave some examples that maybe are useful for someone who is starting learning to use Pytorch
Kaggle | 9th place solution for TGS Salt Identification Challenge
Segmentation models with pretrained backbones. Keras.
Repo for the Deep Reinforcement Learning Nanodegree program
Open solution to the Mapping Challenge 🌎
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Adaptive Affinity Fields for Semantic Segmentation
3rd place solution ( Carvana Image Masking Challenge )
Models and examples built with TensorFlow
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
DSB2018 [ods.ai] topcoders
CRF-RNN Keras/Tensorflow version
Faster RCNN with PyTorch
Demonstration of using Caffe2 inside an Android application.
Instance-Batch Normalization Networks (ECCV2018)
LSTM and QRNN Language Model Toolkit for PyTorch
Totally Versatile Miscellanea for Pytorch
Code for the Lovász-Softmax loss (CVPR 2018)
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
Hyerparameter Optimization for PyTorch
Visual and quantitative example of Steepest Descent vs limited memory BFGS (Broyden-Fletcher-Goldfarb-Shanno)
An automatic garden watering system using an Arduino