Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
camels-cl
Catchment attributes and meteorology for large sample studies - Chile dataset.
hydrodataset
Datasets downloader and reader for Hydrologic Modeling
hydromodel
新安江等水文模型
iheadwater_hackweek_tutorials
水资源科研编程入门教程
lstm_for_pub
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
MLBookCodes
《〈机器学习〉习题参考》代码资源
neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
boluo1221313's Repositories
boluo1221313/MLBookCodes
《〈机器学习〉习题参考》代码资源
boluo1221313/skills-introduction-to-github
My clone repository
boluo1221313/hydromodel
新安江等水文模型
boluo1221313/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
boluo1221313/zlibrary-newest-entrance-
所有可以访问zlibrary的方式
boluo1221313/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
boluo1221313/hydrodataset
Datasets downloader and reader for Hydrologic Modeling
boluo1221313/iheadwater_hackweek_tutorials
水资源科研编程入门教程
boluo1221313/pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
boluo1221313/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
boluo1221313/lstm_for_pub
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
boluo1221313/camels-cl
Catchment attributes and meteorology for large sample studies - Chile dataset.