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goudanZ1 / Awesome-Marp
Forked from favourhong/Awesome-Marp基于 Awesome Marp v1.3，修正了部分样式类的显示效果，添加了一套 PKU 主题的模版，并提供了两个样例
Differentiable Optimization-Based Modeling for Machine Learning
An elegant PyTorch deep reinforcement learning library.
The code base for Generalizable Dose Prediction for Heterogenous Multi-Cohort and Multi-Site Radiotherapy Planning (GDP-HMM) challenge at AAPM 2025
Implementation of Denoising Diffusion Probabilistic 8000 Model in Pytorch
[ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
Python Multi-Agent Reinforcement Learning framework
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Rese…
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
This repo is a collection of AWESOME things about 🌟Medical Image Registration🌟, including useful materials, papers, code.
GitHub's code repository is all you need
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A curated list of visual reinforcement learning resources
A list of open-source software tailored for the Medical Physics domain
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
A curated list of resources for Learning with Noisy Labels
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Opensource Python project for cancer radiation treatment planning [AAPM'23]
An open source multi-modality radiation treatment planning sytem developed by e0404 @ DKFZ
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Transformer based on a variant of attention that is linear complexity in respect to sequence length
A curated list of awesome embedding models tutorials, projects and communities.
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Sourcetrail - free and open-source interactive source explorer
Paper and implementation of UNet-related model.