Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
AA
Adaptive-Sentinel-Image-Captioning
Implementation of the 'Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning' by Lu et. al.
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
caffe
Caffe
xyy19920105's Repositories
xyy19920105/caffe
Caffe
xyy19920105/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
xyy19920105/caffe-fast-rcnn
Caffe fork that supports Fast R-CNN
xyy19920105/cs231n.github.io
Public facing notes page
xyy19920105/CUDA-CNN
CNN accelerated by cuda. Test on mnist and finilly get 99.76%
xyy19920105/cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
xyy19920105/cudahandbook
Source code that accompanies The CUDA Handbook.
xyy19920105/data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
xyy19920105/DeepID_FaceClassify
Practise of DeepID for Face Classification
xyy19920105/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
xyy19920105/DropoutUncertaintyCaffeModels
Dropout As A Bayesian Approximation: Code
xyy19920105/FaceVerification
xyy19920105/fast-rcnn
Fast R-CNN
xyy19920105/featureforge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
xyy19920105/fgs-obj
xyy19920105/https-github.com-dmlc
xyy19920105/idlf
Intel® Deep Learning Framework
xyy19920105/machine-learning
Demonstrates data munging, analysis and visualization techniques
xyy19920105/nips14_loc_seg_testonly
Object Segmentation (NIPS 2014)
xyy19920105/OpenCVBook
Practical Python and OpenCV book
xyy19920105/PageRank
Implementation of the PageRank algorithm
xyy19920105/Places_CNDS_model
xyy19920105/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
xyy19920105/public
SailingLab's Petuum project.
xyy19920105/purine2
Purified Purine.
xyy19920105/rcnn
R-CNN: Regions with Convolutional Neural Network Features
xyy19920105/spark-ml
xyy19920105/stnbhwd
Modules for spatial transformer networks (BHWD layout)
xyy19920105/theano_lstm
Nano size Theano LSTM module
xyy19920105/xyy