gauravkuppa's repositories
scalableMARL
Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.
active-target-localization
Active Localization of Multiple Targets Using Noisy Relative Measurements
ADFQ
Bayesian Q-learning
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
base-drone
Base Control for Drones
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
cp-vton-plus
Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020
DeepMimic
Motion imitation with deep reinforcement learning.
detr
End-to-End Object Detection with Transformers
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Down-to-the-Last-Detail-Virtual-Try-on-with-Detail-Carving
Virtural try-on under arbitrary poses
gauravkuppa.github.io
Forked from academicpages/academicpages.github.io, forked from mmistakes/minimal-mistakes
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
ml-curriculum
SJSU Robotics ML Curriculum
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
phd
Code for ICCV 2019 Paper: "Predicting 3D Human Dynamics from Video"
trt_yolov7
tensorrt yolov7 without onnxparser
wadl
A python package for planning surveys over large areas using one or more UAV (Unpersoned Aerial Vehicle).