Ashutosh-Adhikari's repositories
deep_rl
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
description-length-probing
This is a repository with the code for the paper "Information-Theoretic Probing with Minimum Description Length"
DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
google-research
Google Research
neural-tweet-search
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search (Rao et al. AAAI'19)
PrefixTuning
Prefix-Tuning: Optimizing Continuous Prompts for Generation
ProMP
ProMP: Proximal Meta-Policy Search
pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
pytorch-pretrained-BERT
The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
relational-gcn
Keras-based implementation of Relational Graph Convolutional Networks
RIMs
Code for "Recurrent Independent Mechanisms"
VQA_ReGAT
A pyTorch implementation of Relation-aware Graph Attention Network for Visual Question Answering.