Guangneng Hu's repositories
caffe-tensorflow
Caffe models in TensorFlow
v70
Proceedings of ICML 2017
img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
word2vec-api
Simple web service providing a word embedding model
Starspace
Learning embeddings for classification, retrieval and ranking.
fastText
Library for fast text representation and classification.
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
transferlearning
transfer learning in AI
cs231n.github.io
Public facing notes page
textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
APSRR-2016
Audio Processing Seminar 2016: Reproducible Research
rcnn-1
Recurrent & convolutional neural network modules
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
async_deep_reinforce
Asynchronous Methods for Deep Reinforcement Learning
PRMLT
Pattern Recognition and Machine Learning Toolbox
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
machineLearning
supervised and unsupervised algorithms from Andrew Ng machine learning class
cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
DeepSurv
DeepSurv is a deep learning approach to survival analysis.
ActorMimic
Train an RL agent to play multiple Atari games at once
NNRec
Neural models for Collaborative Filtering
bannedwords
论坛、社交网站、博客、微博等允许用户生成内容的网站，常常遇到屏蔽违禁词、敏感词、广告、色情等文字的问题。这里给出一份违禁词列表，供大家参考。
GRU4Rec
GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.
plda
Automatically exported from code.google.com/p/plda
sigir16-eals
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "