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[WACV 2024] An implementation of MEGANet for polyp segmentation with multi-scale edge-guided attention
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
A collection of pre-trained RL agents using Stable Baselines3
Additional wallpapers which will be offered to users for my hyprland scripts
BSPWM environment with 18 themes. With a theme selector to change on the fly.
Simple hugo academic theme for scientist personal page
Experiment with diffusion models that you can run on your local jupyter instances
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Paper list of multi-agent reinforcement learning (MARL)
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning
Official Code for our CVPR 2024 Paper "Diversified and Personalized Multi-rater Medical Image Segmentation" (Highlight)
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac
Hands-On Reinforcement Learning with Python, published by Packt
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
For automated installation of Hyprland on Arch Linux or any Arch Linux-based distros
Reinforcement learning tutorials
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.