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awsome-deep-learning-for-video-analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

caffe

Caffe: a fast open framework for deep learning.

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

examples

A SimRank algorithm implementation using Spark

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

git-tutorial

start to learn git

homework

Imitation Learning Homework 1

ian09.github.io

iir

Machine Learning / Natural Language Processing / Information Retrieval

inception

learngit

I am learning git

learngit2

3rd

learning-spark

Example code from Learning Spark book

needle

some RL algorithms

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pio-parallel-simrank-engine

py-rbm

A library of Restricted Boltzmann Machines

pytorch-fm

Factorization Machine models in PyTorch

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

rcvdataset

recommend

recommendation system with python

smartdispatch

Batch job launcher for the Mammouth supercomputer.

spark-libfm

An implement of Factorization Machines (LibFM)

superviseddeepdocnade

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

torch-autograd

Autograd automatically differentiates native Torch code. Ported to Lua from the original Python version.

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering