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flair

A very simple framework for state-of-the-art NLP

flann

Fast Library for Approximate Nearest Neighbors

flashlight

A C++ standalone library for machine learning

flexsearch

Next-Generation full text search library for Browser and Node.js

flink

Mirror of Apache Flink

fm-spark-ada

Spark FM with Adagrad and Adam solver

fm_ftrl

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

fnn

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

focal-loss

Focal loss for Dense Object Detection

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

focal_loss_multi_class

mutil-class focal loss implemented in keras

focalloss_for_multiclass

Focal loss for multiple class classification

forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

former

Simple transformer implementation from scratch in pytorch.

foundations-of-numerical-computing

Lecture Slides, Exercises, and Deployment Materials

fraudar

fregata

A light weight, super fast, large scale machine learning library on spark .

from_coder_to_expert

2019年最新总结，从程序员到CTO，从专业走向卓越，分享大牛企业内部pdf与PPT

ftrl-java

follow-the-regularized-leader implemented by java, with an example using criteo dataset.

ftrl_proximal_lr

Multithreaded Asynchronous FTRL Proximal Implementation

ftrlp

Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm

fucking-algorithm

labuladong 的算法小抄，总结各种常考算法的套路，助力刷题面试

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

gan

Tooling for GANs in TensorFlow

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gbdt

gbdt-cpp

Gradient boosting decision trees.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gensim

Topic Modelling for Humans