hanimiao Goto Github PK

caffe-windows-3dconvnet

3dConvNet for windows

caffe_lrcn

A clone from the recurrent branch of the LRCN caffe by Jeff Donahue http://jeffdonahue.com/lrcn/

ccdl

深度学习应用框架，专注于深度学习的工程应用

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

deblurgan

Image Deblurring using Generative Adversarial Networks

deep-learning-activity-recognition

A tutorial for using deep learning for activity recognition

deep-visualization-toolbox

DeepVis Toolbox

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

deeplearningframeworks

Demo of running NNs across different frameworks

dense_flow

Tools to extract dense optical flow from videos, based on OpenCV

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

discourse-ablstm

Attention-based Bidirectional Long Short-Term Memory neural network for classification of Chinese implicit discourse relations

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dtpp

Deep networks with Temporal Pyramid Pooling. The official implementation for "End-to-end Video-level Representation Learning for Action Recognition, ICPR2018."

examples

face_recognition

The world's simplest facial recognition api for Python and the command line

fe-base-edu

前端基础学习

flow-io-opencv

Fork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].

flower-recognition

:hibiscus: :sunflower: Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-docker

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

fpn

Feature Pyramid Networks for Object Detection

frame_prediction_cgan

Interpolate and extrapolate video frames using cGAN

gru

利用tensorflow实现GRU

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

handong1587.github.io

harskel

Source code for the paper "Learning features combination for human action recognition from skeleton sequences".

hidden-two-stream

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

human-action-recognition

human action recognition by deep learning