Pinned Repositories
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
AnomalyDetectionUsingAutoencoder
Anomaly detection using Autoencoder implemented with Keras 2.
AOS
Airborne Optical Sectioning
AutoSub
A CLI application to generate subtitle file for any video using Mozilla DeepSpeech
awesome-action-recognition
A curated list of action recognition and related area resources
Awesome-Crowd-Counting
Awesome Crowd Counting
awesome-deep-learning-papers
The most cited deep learning papers
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
awesome-rl
Reinforcement learning resources curated
gwnudt's Repositories
gwnudt/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
gwnudt/awesome-deep-learning-papers
The most cited deep learning papers
gwnudt/awesome-rl
Reinforcement learning resources curated
gwnudt/awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
gwnudt/caffe
Caffe: a fast open framework for deep learning.
gwnudt/Deep-learning-object-detection-links.
Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )
gwnudt/DeepOSM
Train a deep learning net with OpenStreetMap features and satellite imagery.
gwnudt/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gwnudt/ganhacks
starter from "How to Train a GAN?" at NIPS2016
gwnudt/glia
GLIA: Graph Learning Library for Image Analysis
gwnudt/img_classification_pk_pytorch
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
gwnudt/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
gwnudt/kaggle-web-traffic
1st place solution
gwnudt/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
gwnudt/predicting-poverty
Combining satellite imagery and machine learning to predict poverty
gwnudt/pytorch-examples
Simple examples to introduce PyTorch
gwnudt/pytorch-fcn
PyTorch implementation of Fully Convolutional Networks
gwnudt/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
gwnudt/pytorch_RFCN
PyTorch implementation of R-FCN
gwnudt/Real-time-Superpixel-Segmentation-by-DBSCAN-Clustering-Algorithm-
Real-time Superpixel Segmentation by DBSCAN Clustering Algorithm
gwnudt/slambook
gwnudt/slstudio
SLStudio -- Open Source Real Time Structured Light. A comprehensive software suite for capturing and reconstructing 3D scenes with a camera-projector pair.
gwnudt/tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
gwnudt/tf_unet
Generic U-Net convolutional neural network Tensorflow implementation
gwnudt/TMM
Implementaiton and experiments from the article "Tensorial Mixture Models"
gwnudt/toolbox
Piotr's Image & Video Matlab Toolbox
gwnudt/tsnet
Tensor Switching Networks
gwnudt/Unsupervised_Depth_Estimation
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
gwnudt/unwrap_phase
gwnudt/vnet.pytorch
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation