Pinned Repositories
ACoL
Adversarial Complementary Learning for Weakly Supervised Object Localization
adaptiveOptimalTraining
adaptive optimal training of animal behavior
adda
advanced-r
Source code for 'Advanced R' by Matt Wiley and Joshua F. Wiley
asnets
Source for Action Schema Networks paper (AAAI'18)
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
pytorch-mace
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
gumpfly's Repositories
gumpfly/pytorch-mace
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
gumpfly/advanced-r
Source code for 'Advanced R' by Matt Wiley and Joshua F. Wiley
gumpfly/awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
gumpfly/bayesian-rnn
gumpfly/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
gumpfly/CCSA
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
gumpfly/deepDiagnosis
A torch package for learning diagnosis models from temporal patient data.
gumpfly/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
gumpfly/experiments_with_python
experiments with python
gumpfly/Faster-RCNN_TF
Faster-RCNN in Tensorflow
gumpfly/grad-cam
[ICCV 2017] Torch code for Grad-CAM
gumpfly/MachineLearning-C---code
using c++ code to show the example of machine learning
gumpfly/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
gumpfly/noiseestimation
Adaptive measurement noise estimation for Kalman filtering
gumpfly/non-submodular-max
Source code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017
gumpfly/nSTAT
Neural Spike Train Analysis Toolbox for Matlab
gumpfly/PRML
PRML algorithms implemented in Python
gumpfly/PRMLT
Matlab code for machine learning algorithms in book PRML
gumpfly/pygcn
Graph Convolutional Networks in PyTorch
gumpfly/RiA2
Source code for R in Action, Second Edition
gumpfly/schema-games
General Game Playing with Schema Networks
gumpfly/scikit-learn
scikit-learn: machine learning in Python
gumpfly/snapvx
gumpfly/Spiking-Neural-Network
Pure python implementation of SNN
gumpfly/stdp-mnist
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
gumpfly/structuredinference
Structured Inference Networks for Nonlinear State Space Models
gumpfly/tensorflow-grad-cam
Tensorflow Slim Grad-Cam to Explain Neural Network Predictions with Heatmap or Shading
gumpfly/tensorflow-value-iteration-networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
gumpfly/Vundle.vim
Vundle, the plug-in manager for Vim
gumpfly/YouCompleteMe
A code-completion engine for Vim