Ashutosh-Adhikari

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

ashutosh-adhikari.github.io

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

BERT-Fine_tune

A fine-tune framework based on pytorch-pretrained-BERT

birch

Document ranking via sentence modeling using BERT

CondenseNet

CondenseNet: Light weighted CNN for mobile devices

DQN

Pytorch implementation of Human-Level Control through Deep Reinforcement Learning

GATA-public

castor

PyTorch deep learning models for text processing

hedwig

PyTorch deep learning models for document classification

Ashutosh-Adhikari/al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Ashutosh-Adhikari/ashutosh-adhikari.github.io

Ashutosh-Adhikari/birch

Document ranking via sentence modeling using BERT

Ashutosh-Adhikari/GATA-public

Ashutosh-Adhikari/c-swm

Contrastive Learning of Structured World Models

Ashutosh-Adhikari/clutrr

Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

Ashutosh-Adhikari/deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

Ashutosh-Adhikari/description-length-probing

This is a repository with the code for the paper "Information-Theoretic Probing with Minimum Description Length"

Ashutosh-Adhikari/DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Ashutosh-Adhikari/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Ashutosh-Adhikari/dl4ir-doc2query

Ashutosh-Adhikari/dl4marco-bert

Ashutosh-Adhikari/errol

Ashutosh-Adhikari/garage

A toolkit for reproducible reinforcement learning research

Ashutosh-Adhikari/google-research

Google Research

Ashutosh-Adhikari/GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Ashutosh-Adhikari/GraphIE

Ashutosh-Adhikari/hedwig

PyTorch deep learning models for document classification

Ashutosh-Adhikari/hiersumm

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

Ashutosh-Adhikari/KG-DQN

Ashutosh-Adhikari/neural-tweet-search

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search (Rao et al. AAAI'19)

Ashutosh-Adhikari/PrefixTuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Ashutosh-Adhikari/ProMP

ProMP: Proximal Meta-Policy Search

Ashutosh-Adhikari/pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Ashutosh-Adhikari/pytorch-pretrained-BERT

The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

Ashutosh-Adhikari/relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

Ashutosh-Adhikari/RIMs

Code for "Recurrent Independent Mechanisms"

Ashutosh-Adhikari/SCAN

Simple language-driven navigation tasks for studying compositional learning

Ashutosh-Adhikari/TextWorld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Ashutosh-Adhikari/VQA_ReGAT

A pyTorch implementation of Relation-aware Graph Attention Network for Visual Question Answering.