valdersoul's repositories

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tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

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amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-pytorch

Awesome PyTorch

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caffe

Caffe: a Fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

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crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

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deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

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DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

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homework

Imitation Learning Homework 1

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irgan

IRGAN SIGIR paper experimental code

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

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LasagneNLP

NLP tools on Lasagne

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MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

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Mocha.jl

Deep Learning framework for Julia

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models

Models built with TensorFlow

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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pytorch-avitm

PyTorch implementation of AVITM

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reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

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stat-nlp-book

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

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tagger

Named Entity Recognition Tool

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tensorlayer

TensorLayer: A Deep Learning and Reinforcement Learning Library for TensorFlow.

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thesis

Thang Luong's thesis on Neural Machine Translation

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topic_interpretability

Computation of the semantic interpretability of topics produced by topic models.

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tutorials

机器学习相关教程

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