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flat-lattice-transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

flipda

fluence

A deep learning library based on Pytorch focussed on low resource language research and robustness

fm_ftrl

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

fm_python

implement fm demo with python

fmfm

fmlp-rec

fmn-pytorch

feed back memory network

fnc-1

Fake News Challenge

fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

focal-loss

TensorFlow implementation of focal loss

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

focalloss-mxnet

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

foolnltk

A Chinese Nature Language Toolkit

football

former

Simple transformer implementation from scratch in pytorch.

fpmc

Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

fpmc-1

Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation

fpmc-2

feature produce & mange & concume

free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

freeanchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

freelb

Adversarial Training for Natural Language Understanding

ftpservertest

使用Common-net客户端来测试Apache FTPServer

ftrl-lr

Logistic Regression with FTRL

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

fudan_mtl_reviews

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

fun-rec

推荐系统中文教程