Pinned Repositories
adpredictor
A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python
Algorithms
Some implementations of elementary algorithms in Python
caffe
Caffe: a fast open framework for deep learning.
clickmodels
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
datacomb
An interactive tool for exploring large, tabular datasets.
display-advertising-challenge
Criteo/Kaggle Competition of CTR prediction
DML
gbdt
Kaggler
Code for Kaggle Data Science Competitions
liblinear
irwenqiang's Repositories
irwenqiang/ArchSummit2017
ArchSummit(全球架构师峰会)演讲稿
irwenqiang/bayes_examples
irwenqiang/bayesian_nn
Lightweight Bayesian neural net library for tensorflow
irwenqiang/Classification_Nets
Implement popular models by different DL framework. Such as tensorflow and caffe
irwenqiang/cs231n-2015
Convolutional Neural Networks Assignments
irwenqiang/cs231n-2016
Convolutional Neural Networks for Visual Recognition in Stanford
irwenqiang/Deep-Learning-Paper-List
irwenqiang/DeepInterestNetwork
irwenqiang/DiFacto
Distributed Factorization Machines and LR with ps-lite
irwenqiang/dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
irwenqiang/DualGAN
DualGAN-tensorflow: tensorflow implementation of DualGAN
irwenqiang/expectation-backpropagation
Python 3 implementation of the Expectation Backpropagation algorithm from https://papers.nips.cc/paper/5269-expectation-backpropagation-parameter-free-training-of-multilayer-neural-networks-with-continuous-or-discrete-weights.pdf
irwenqiang/face2face-demo
pix2pix demo that learns from facial landmarks and translates this into a face
irwenqiang/first-pr
《GitHub实践入门》实验用仓库
irwenqiang/Generative-Adversarial-Network-Tutorial
Tutorial on creating your own GAN in Tensorflow
irwenqiang/handong1587.github.io
irwenqiang/l4-optimizer
Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
irwenqiang/LM_GANS
irwenqiang/models
Models and examples built with TensorFlow
irwenqiang/neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
irwenqiang/PRML
PRML algorithms implemented in Python
irwenqiang/prml-1
irwenqiang/product-nets
irwenqiang/ps-lite
A lightweight parameter server interface
irwenqiang/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
irwenqiang/quora-duplicate-questions
Detect duplicate questions on Quora
irwenqiang/saliency
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
irwenqiang/snake-ai-reinforcement
AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).
irwenqiang/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
irwenqiang/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等