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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, ... 🧠

bbvbma

Supplementary code to "Black Box Variational Bayes Model Averaging"

deep-learning-for-programmers

Learn to code deep learning algorithms

ealstm_regional_modeling

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

github-slideshow

A robot powered training repository :robot:

hydroutils

A collection of util functions commonly used in hydrological modeling

iheadwater_hackweek_tutorials

水资源科研编程入门教程

inverse_distance_weighting

Interpolation in D-dimensional spaces using inverse distance weighted, k-nearest neighbours

kdepy

Kernel Density Estimation in Python

machine-learning

Machine learning

map_estimation

Maximum a Posteriori or MAP for short is a Bayesian-based approach to estimating a distribution and model parameters that best explain an observed dataset.

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

mathematical-modeling-in-python

用Python实现了《数学建模算法与应用》第二版中的部分示例代码. (原书中使用的是Matlab)

numpy-ml

Machine learning, in numpy

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

pykan

Kolmogorov Arnold Networks

python-small-examples

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work

saliencymap

subseasonal_data

Data access package for the SubseasonalClimateUSA dataset

subseasonal_toolkit

Subseasonal forecasting models

xuehua111

Config files for my GitHub profile.