xyzhangfred

y-crdt

Rust port of Yjs

Grokking-System-Design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

teslaprep

A comprehensive guide on buying and owning a Tesla

mlh-hackathon-flask-starter

Hackathon starter project for Flask applications

Optimus

Optimus: the first large-scale pre-trained VAE language model

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

dotfiles

~anish • powered by https://github.com/anishathalye/dotbot 💾

diff-zoo

Differentiation for Hackers

PLMpapers

Must-read Papers on pre-trained language models.

uda

Unsupervised Data Augmentation (UDA)

demog-text-removal

torchMoji

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

nullspace_projection

language-style-transfer

TransformersDataAugmentation

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

DSS-VAE

Generating Sentences from Disentangled Syntactic and Semantic Spaces

Discovery-Cluster

A wiki containing information about NEU's Discovery Cluster.

hans

Heuristic Analysis for NLI Systems

group_DRO

Distributionally robust neural networks for group shifts

nitrain

Train AI models efficiently on medical images using any framework

DIVA

Implementation of 'DIVA: Domain Invariant Variational Autoencoders'

PPLM

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

LAMA

LAnguage Model Analysis

vampire

Variational Methods for Pretraining in Resource-limited Environments

sentence-transformers

State-of-the-Art Text Embeddings

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

controllable-text-attribute-transfer

Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"