Ahmad khaliq's repositories
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Articles
References to the Medium articles
GPR_Competition
Dataset for MetaSLAM Challenge
xingtian
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
examples
Example deep learning projects that use wandb's features.
maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
RL-VRP-PtrNtwrk
Reinforcement Learning for Solving the Vehicle Routing Problem
pymarl
Python Multi-Agent Reinforcement Learning framework
DGN
DGN Code
Pytorch-Image-Deblurring
Multi-scale network for image deblurring
Patch-NetVLAD
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
VPR-Bench
This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework
ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
deap
Distributed Evolutionary Algorithms in Python
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
hierarchical_loc
Deep image retrieval for efficient 6-DoF localization
Res2Net-PretrainedModels
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
deep_features
A ROS package for deep CNN-based feature extraction and publishing
google-landmark
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
pytorch-NetVlad
Pytorch implementation of NetVlad including training on Pittsburgh.
Mastering-Reinforcement-Learning-with-Python
Mastering Reinforcement Learning with Python, published by Packt