Slienteagle-wyb

agile_flight

Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight

ai_lib

AirSim-Drone-Racing-VAE-Imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, Ape-X DQN, DDPG, TD3, SAC)

COMPASS

COntrastive Multimodal Pretraining for AutonomouS Systems

Competition_3v3snakes

ConvNeXt

Code release for ConvNeXt model

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

hands_on_diffusion

some toy scripts based on book 'Hands-On Generative AI with Transformers and Diffusion Models'

Slienteagle-wyb/hands_on_diffusion

some toy scripts based on book 'Hands-On Generative AI with Transformers and Diffusion Models'

Slienteagle-wyb/agile_flight

Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight

Slienteagle-wyb/cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, Ape-X DQN, DDPG, TD3, SAC)

Slienteagle-wyb/COMPASS

COntrastive Multimodal Pretraining for AutonomouS Systems

Slienteagle-wyb/ConvNeXt

Code release for ConvNeXt model

Slienteagle-wyb/decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Slienteagle-wyb/DJITelloPy

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

Slienteagle-wyb/dreamerv2

Mastering Atari with Discrete World Models

Slienteagle-wyb/flightmare

An Open Flexible Quadrotor Simulator

Slienteagle-wyb/google-research

Google Research

Slienteagle-wyb/gym

A toolkit for developing and comparing reinforcement learning algorithms.

Slienteagle-wyb/gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Slienteagle-wyb/iris

Transformers are Sample Efficient World Models

Slienteagle-wyb/IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

Slienteagle-wyb/myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

Slienteagle-wyb/OmniIsaacGymEnvs

Reinforcement Learning Environments for Omniverse Isaac Gym

Slienteagle-wyb/pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm

Slienteagle-wyb/pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Slienteagle-wyb/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Slienteagle-wyb/quad-swarm-rl

Additional environments compatible with OpenAI gym

Slienteagle-wyb/rlpd

Slienteagle-wyb/rlpyt

Reinforcement Learning in PyTorch

Slienteagle-wyb/robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

Slienteagle-wyb/safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Slienteagle-wyb/sample-factory

High throughput synchronous and asynchronous reinforcement learning

Slienteagle-wyb/solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Slienteagle-wyb/spr

Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

Slienteagle-wyb/tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

Slienteagle-wyb/VAPAR

Slienteagle-wyb/VINN