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ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

causal-learn icon causal-learn

Python translation (and extension) of the Tetrad java code.

celer icon celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

cnn-sindy-mlrom icon cnn-sindy-mlrom

Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.

covid-19-sindy icon covid-19-sindy

Use SINDY algorithm to discover a dynamical system from coronavirus data

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

euphratessegn icon euphratessegn

Inferring real-time gene networks of dynamic transcriptional plasticity

fastai icon fastai

The fastai deep learning library, plus lessons and tutorials

firets icon firets

A python multi-variate time series prediction library working with sklearn

generalized-idopnetwork icon generalized-idopnetwork

A statistical framework for recovering dynamic networks from static data with applications to tissue-specific gene network reconstruction from GTEx data

group-lasso icon group-lasso

Group Lasso implementation following the scikit-learn API

groupsparselp_dereverberation icon groupsparselp_dereverberation

This code solves multichannel sparse linear prediction using the Least Absolute Deviation (LAD) and Group LASSO (GL) algorithms with applications in dereverberation

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