Natsuda (natsudalkr)

natsudalkr

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Natsuda's repositories

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C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

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caffe

Caffe: a fast open framework for deep learning.

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chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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densecap

Dense image captioning in Torch

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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facenet

Face recognition using Tensorflow

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fastText

Library for fast text representation and classification.

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GCPArchitectureChallenge

This is a public repo

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improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

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keras

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

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NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pythai

A collection of tools for working with the Thai language in Python

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pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

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pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

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scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

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seq2seq_temporal_attention

Generating Video Description using Sequence-to-sequence Model with Temporal Attention

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow-template

Template for train/predict/test in Tensorflow

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tilse

Timeline summarization and evaluation.

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wordvectors

Pre-trained word vectors of 30+ languages

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youtube-8m

Starter code for working with the YouTube-8M dataset.

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