jpilaul

interactive_chain_prompting

Contains code and data for the interactive-chain-prompting project

IFT6266_project

Cats_vs_Dogs for IFT6266 deep learning project

moses

Moses Decoder trained on europarl to get perplexity - NLP + NMT

AAI-site

NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science

ACER_tf

Implementation for ACER in tensorflow and sonnet by deepmind

ai-deadlines

:alarm_clock: AI conference deadline countdowns

awesome-GAN

A curated list of awesome Generative Adversarial Nets resources.

benchmark

DeepRL

Highly modularized implementation of popular deep RL algorithms by PyTorch

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

complex

Source code for experiments in the ICML 2016 paper "Complex Embeddings for Simple Link Prediction"

gensen

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

mchacks2017_vocab-learner

MLP

NeMo

NeMo: a toolkit for conversational AI

oh-my-zsh

A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

patchwork

All the Git-it Workshop completers!

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

PRopS

On Conditional and Compositional Language Model Differentiable Prompting - PRopS code

pytorch-tvmisc

Totally Versatile Miscellanea for Pytorch

random_encoders_hred

Using untrained and randomly initialized encoders in summarization

requests-for-research

A living collection of deep learning problems

scibert

A BERT model for scientific text.

show-attend-and-tell

TensorFlow Implementation of "Show, Attend and Tell"

TransformerSum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Twinnet