vmurahari3

DataMUX

[NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks

datamux-pretraining

MUX-PLMs: Pretraining LMs with Data Multiplexing

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

visdial-bert

Implementation for "Large-scale Pretraining for Visual Dialog" https://arxiv.org/abs/1912.02379

visdial-diversity

Pytorch implementation of https://arxiv.org/pdf/1909.10470.pdf

vmurahari3/visdial-bert

Implementation for "Large-scale Pretraining for Visual Dialog" https://arxiv.org/abs/1912.02379

vmurahari3/visdial-diversity

Pytorch implementation of https://arxiv.org/pdf/1909.10470.pdf

vmurahari3/vmurahari3.github.io

Personal Website. Template borrowed from http://jonbarron.info and https://abhoi.github.io/

vmurahari3/alfred

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

vmurahari3/bottom-up-attention

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

vmurahari3/eval_stop_viz

vmurahari3/eval_task_viz_stop_model

vmurahari3/eval_viz_subgoal_stop_condition

vmurahari3/hard-negs-v1

vmurahari3/imitation

Code for the paper "Generative Adversarial Imitation Learning"

vmurahari3/Learn-Vim

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

vmurahari3/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

vmurahari3/max_words_penalty_0_1_eval

vmurahari3/max_words_penalty_0_1_ranks

vmurahari3/max_words_penalty_0_1_viz

vmurahari3/NeuralDialogPapers

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

vmurahari3/overfit-on-GT

vmurahari3/path-reweighting-eval

vmurahari3/path-reweighting-viz

vmurahari3/phrase-similarity-plots

vmurahari3/phrase-similarity-with-glove-plots

vmurahari3/post-conditions-hard-neg

vmurahari3/post-processing-v0-random-negs

vmurahari3/Practical_RL

A course in reinforcement learning in the wild

vmurahari3/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).

vmurahari3/pytorch-transformers

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

vmurahari3/qualitative_samples

vmurahari3/random-negs-v1

vmurahari3/valid-seen-preds-weighted-ce

vmurahari3/yacs

YACS -- Yet Another Configuration System