Pinned Repositories
Adam-experiments
Experiments with Adam/AdamW/amsgrad
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
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
🧑🏫 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, ... 🧠
apachecn_ml
机器学习
CANN
Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
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
CEC2006
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
CODES
Codes for some of my co-authored journal/conference papers
XDFLYQ's Repositories
XDFLYQ/Fatigue-life-prediction-of-aluminum-alloy
XDFLYQ/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
XDFLYQ/github-slideshow
A robot powered training repository :robot:
XDFLYQ/CEC2006
XDFLYQ/Deep-aPCE
XDFLYQ/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
XDFLYQ/CANN
Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
XDFLYQ/fpn_HSL-TFP
A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout
XDFLYQ/PhyCNN
Physics-guided Convolutional Neural Network
XDFLYQ/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
XDFLYQ/PyTorch_Machine_Learning
Machine learning, Deep Learning, CNN with PyTorch
XDFLYQ/UQPINNs
XDFLYQ/Deep-learning-note
深度学习部分的笔记
XDFLYQ/ML-hand
各种机器学习算法的手写实现
XDFLYQ/pytorch-note
pytorch学习笔记-md格式便于下载和修改
XDFLYQ/FlowNet1.0-using-Keras
This model's weights are converted from Flownet of Nvidia
XDFLYQ/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
XDFLYQ/ML1
Papers with code. Sorted by stars. Updated weekly.
XDFLYQ/Adam-experiments
Experiments with Adam/AdamW/amsgrad
XDFLYQ/apachecn_ml
机器学习
XDFLYQ/Finite-Element-Modeling
Some Algorithms for Finite Element Modeling
XDFLYQ/vfx11spring_project2
project #2 of Digital Visual Effects, Spring 2011