CY0008

CY0008's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.8k3.3k

• apachecn/huazhang-math-book

  :books: 华章数学丛书高清扫描

  23399

• mingcaixiao/Numerical-solutions-of-differential-equations

  微分方程数值解作业

  Language:TeX122

• katiana22/TL-DeepONet

  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

  Language:Python619

• ItsWajdy/LM

  A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training

  Language:Python349

• hahnec/torchimize

  numerical optimization in pytorch

  Language:Python1347

• Foooool/GradientGuidedNetwork

  Language:Jupyter Notebook3

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.1k2.6k

• Zhenye-Na/DA-RNN

  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

  Language:Jupyter Notebook420140

• rasbt/deep-learning-book

  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

  Language:Jupyter Notebook2.8k749

• datawhalechina/thorough-pytorch

  PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

  Language:Jupyter Notebook2.5k417

• migariane/eltmle

  Ensemble Learning Targeted Maximum Likelihood for Stata users

  Language:Stata52

• civisanalytics/python-glmnet

  A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

  Language:Python26259

• ibab/python-mle

  A Python package for performing Maximum Likelihood Estimates

  Language:Python12531

• bbolker/bbmle

  maximum likelihood estimation package

  Language:R2513

• stephaneguindon/phyml

  PhyML -- Phylogenetic estimation using (Maximum) Likelihood

  Language:C17661

• Cibiv/IQ-TREE

  Efficient phylogenomic software by maximum likelihood

  Language:C++18644

• wilsoncai1992/TMLEbootstrap

  bootstrap confidence intervals for Targeted Maximum Likelihood Estimators

  Language:R63

• jb262/MaximumLikelihoodGammaDist

  A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.

  Language:VBA42

• mfrdixon/MLEMVD

  Maximum likelihood estimators for multi-variate diffusions with an example Heston model calibration

  Language:R79

• csgillespie/poweRlaw

  This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

  Language:R10924

• floodsung/Meta-Learning-Papers

  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  2.6k474

• oscarknagg/few-shot

  Repository for few-shot learning machine learning projects

  Language:Python1.2k245

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k604

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420