shaoxuan92 Goto Github PK

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

adversarialnetspapers

The classical papers and codes about generative adversarial nets

arctic-captions

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bevis

biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.

bow_frameworks

This is a BoW implementation for action recognition problem in Matlab.

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

caffe-heatmap

Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.

caffe-lstm

LSTM implementation on Caffe

caffe_manual

Caffe_FineTuning base on Existed Model

char-rnn

Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano

char-rnn-1

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

comparing-trajectory-clustering-methods

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

consistency

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

crf

Simple implementation of Conditional Random Fields (CRF) in Python

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

darknet-yolo-segmentation

This project is based on darknet to get image segmentation

darqn

Deep Attention Recurrent Q-Network

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplab-context

deeplab-context2

deeprl

deep reinforcement learning for personal research

densecap

Dense image captioning in Torch