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fargatecli

CLI for AWS Fargate

fargo_crime

fargonautica

farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry.

farmer

Repeatable Azure deployments with ARM templates - made easy!

fasaani

Thin F# wrapper for Azure Search .NET SDK

fashion

fashion-mnist

4 different image classification ConvNets models for Fashion-MNIST dataset

fashion-mnist-1

A MNIST-like fashion product database. Benchmark :point_right:

fashion-recommendation

A clothing retrieval and visual recommendation model for fashion images.

fashion_mnist

Repository for training Nanonets model on fashion MNIST dataset

fasm

F# -> ASM disassembler

fasseg-repository

Datasets for multi-class and multi-pose face segmentation

fast-aes-avr

B. Poettering's 2474 cycles per block AES implementation exposed as C/C++ functions

fast-algorithm-for-generalized-multinomial-models-with-ranking-data

This is the code of my ICML 2019 paper.

fast-algorithms-of-reed-solomon-erasure-codes

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

fast-bert

Super easy library for BERT based NLP models

fast-cpp-csv-parser

fast-cpp-csv-parser

fast-dat-parser

Superfast blockchain parser for stats

fast-dro

PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets

fast-entry_points

make entry_points specified in setup.py load more quickly.

fast-influence-functions

fast-neural-style

Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

fast-neural-style-1

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

fast-noise-aware-topic-clustering

Research code and scripts used in the Silburt et al. (2021) EMNLP 2021 paper 'FANATIC: FAst Noise-Aware TopIc Clustering'

fast-pandas

Benchmark for different operations in pandas against various dataframe sizes.

fast-photo-sorter

Organize a ton of photos by hashtags, made to be as fast as possible.

fast-scnn

Implementation of Fast-SCNN using Tensorflow 2.0

fast-stable-diffusion

fast-stable-diffusion, +25% speed increase + memory efficient.