Susie09

awesome-python-webapp

awesome-python-webapp-1

小白的Python入门教程实战篇：网站+iOS App源码

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

CNN_sentence

CNNs for sentence classification

ConvNet

Convolutional Neural Networks for Matlab. Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

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.

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Susie09/awesome-python-webapp

Susie09/awesome-python-webapp-1

小白的Python入门教程实战篇：网站+iOS App源码

Susie09/ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

Susie09/CNN_sentence

CNNs for sentence classification

Susie09/ConvNet

Convolutional Neural Networks for Matlab. Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

Susie09/decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Susie09/deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

Susie09/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.

Susie09/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Susie09/fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Susie09/hexo

Susie09/learngit

Susie09/loadcaffe

Load Caffe networks in Torch7

Susie09/multiverso

Parameter server framework for distributed machine learning

Susie09/neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Susie09/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Susie09/python-ngram

Set that supports searching by ngram similarity

Susie09/Qix

Node.Js、Golang、Machine Learning、PostgreSQL、Deep Learning

Susie09/susie09.github.io