An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Reading Wikipedia to Answer Open-Domain Questions

Top2Vec learns jointly embedded topic, document and word vectors.

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

R Interface to Torch

news-please - an integrated web crawler and information extractor for news that just works

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

Дані про вступ до закладів вищої освіти в 2015 - 2019 роках

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An opinionated view of the Tidyverse "dialect" of the R language.

Accelerated deep learning R&D

Image augmentation library in Python for machine learning.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

Deepfakes Software For All

R & stats illustrations by @allison_horst

grideR

stackeR

R package to send function calls as jobs on LSF, SGE, Slurm, PBS/Torque, or each via SSH

Create data science and AI web apps in R

Unsupervised text tokenizer for Neural Network-based text generation.

Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered qua…

📈 Grammar of graphics for interactive visualisations

A frictionless, pipeable approach to dealing with summary statistics

Forecasting Functions for Time Series and Linear Models

Enhancing {ggplot2} plots with statistical analysis 📊📣