chituma110 Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

action-detection

temporal action detection with SSN

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

advanced_lane_lines

Udacity Selft-Driving Car Engineer Nano Degree Project 2

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

albumentations

fast image augmentation library and easy to use wrapper around other libraries

algorithms

Minimal examples of data structures and algorithms in Python

all-cnn

Striving for Simplicity: The All Convolutional Net (All-CNN-C)

angular-triplet-loss

ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe

Caffe: a fast open framework for deep learning.

caffe-1

modified version of caffe which support DeconvNet and DecoupledNet

caffe-mpi.github.io

caffe-windows

Configure Caffe in one hour for Windows users.

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe2

This is currently an experimental refactoring of Caffe.

cart

Classification and Regression Trees with Random Forest implemented in Python

chituma110.github.io

My_Blog

cnndroid

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

cs-books-store

你想要的计算机经典书籍，这里都有！

darknet

Convolutional Neural Networks

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

deep-visualization-toolbox

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe

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.

deformed-exponentials-linear-units

《PDELU：parametric deformed exponentials linear units》Activation function is the pivotal component of deep neural networks. In this repository, we introduce the deformed exponential function and learnable parameters into the ELUs to combine the advantages resulting to bring benefits to the classification performance and the convergence of deep networks

densityclust

Clustering by fast search and find of density peaks