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fast-weights

Implementation of Using Fast Weights to Attend to the Recent Past

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

fast_blind_video_consistency

Learning Blind Video Temporal Consistency (ECCV 2018)

fastai

The fast.ai deep learning library, lessons, and tutorials

fastdropout

code for fast dropout

faster-high-res-neural-inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

faster-rcnn-pedestrian-detection

My customized Faster R-CNN for pedestrian-detection

faster-rcnn.pytorch

faster_rcnn

Faster R-CNN

faster_rcnn_pytorch

Faster RCNN with PyTorch

fastext

Efficient Unconstrained Scene Text Detector

fastfm

fastFM: A Library for Factorization Machines

fastmask

FastMask: Segment Multi-scale Object Candidates in One Shot

fastmaskrcnn

Mask RCNN in TensorFlow

fastneuralstyle

Fast Neural Style for Image Style Transform by Pytorch

fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

fastphotostyle

fasttext

Library for fast text representation and classification.

fasttext_multilingual

Multilingual word vectors in 78 languages

fastxml

FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

fauxtograph

Tools for using a variational auto-encoder for latent image encoding and generation.

fb.resnet.torch

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

fbgd

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fc-densenet-tensorflow

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

fc4

Code and resources for "FC4 : Fully Convolutional Color Constancy with Confidence-weighted Pooling" (CVPR 2017)

fcn

This is a Pytorch implementation of FCN8s[1] for semantic segmentation.

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fcn-semantic-segmentation

Fully convolutional networks for semantic segmentation

fcnn-example

This is a fully convolutional neural net exercise to detect houses from aerial images.