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fast_dl2

fast.ai dl2 notes, Topics: Object Detection, Language Models, Image Segmentation

fastai-shell

fastai-vision-app

Starter Pack for creating fast responsive Web App for Fast.AI Vision models

fastbook

Draft of the fastai book

fastnet

API layer built on tensorflow-2.0 for high performance and easy training

fgsegnet

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding

finbert

Financial Sentiment Analysis with BERT

finetune-deploy-bert-with-amazon-sagemaker-for-hugging-face

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

flash

flask-getting-started

Demo code for the Pluralsight course "Flask: Getting Started"

foodx

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

funmirrors

This is a fun project I created to motivate computer vision enthusiasts and to highlight the importance of understanding fundamental concepts related to image formation in a camera.

game-of-life

Demo application for the 'Jenkins: The Definitive Guide' book

gan-implementation

Generative Adversarial Network (GAN) implementation using MNIST dataset.

gan_with_keras

gandalf

A Generative Adversarial Network that can convert sketches of people to photographs and vice versa

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

gans-from-theory-to-production

Material for the tutorial: "Deep Diving into GANs: from theory to production"

geekyrakshit-blog

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

generative_adversarial_networks_live

getting-started-terraform

getting-started-with-google-bert

Getting Started with Google BERT, published by Packt

getting-started-with-google-bert-1

Build and train state-of-the-art natural language processing models using BERT

getting-started-with-serverless

Follow along with blog posts, code samples, and practical exercises to learn how to build serverless applications from your local Integrated development environment (IDE).

glassignments

GLAssignments Code and Analysis

gnns-recipe

A recipe to study Graph Neural Networks (GNNs)

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!