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alfred

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

continuousgestures

eval_stop_viz

eval_task_viz_stop_model

eval_viz_subgoal_stop_condition

hard-negs-v1

health-it-forward

This is a 2 semester project undertaken by 5 Georgia Tech undergrads to create a forum for Parkinson's patients

igvc-software

The code base for our Intelligent Ground Vehicle Competition team.

imitation

Code for the paper "Generative Adversarial Imitation Learning"

learn-vim

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

max_words_penalty_0_1_eval

max_words_penalty_0_1_ranks

max_words_penalty_0_1_viz

neuraldialogpapers

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

overfit-on-gt

path-reweighting-eval

path-reweighting-viz

phrase-similarity-plots

phrase-similarity-with-glove-plots

post-conditions-hard-neg

post-processing-v0-random-negs

practical_rl

A course in reinforcement learning in the wild

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

qualitative_samples

random-negs-v1

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.