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xdflyq's Projects

adaptive_activation_functions icon adaptive_activation_functions

We proposed the simple adaptive activation functions deep neural networks. The proposed method is simple and easy to implement in any neural networks architecture.

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cann icon cann

Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials

cann-1 icon cann-1

when using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://arxiv.org/abs/2210.02202

codes icon codes

Codes for some of my co-authored journal/conference papers

drl icon drl

Deep Reinforcement Learning

easyrobust icon easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

examples icon examples

All benchmarks, examples and applications cases to be run by Kratos. Note that unit tests are in Kratos repository and NOT here

fpn_hsl-tfp icon fpn_hsl-tfp

A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout

javacollection icon javacollection

Java开源项目之「自学编程之路」:学习指南+面试指南+资源分享+技术文章

lswr_loss_function_pinn icon lswr_loss_function_pinn

A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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