dianalyx's starred repositories

Python-100-Days

Python - 100天从新手到大师

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

Language:Jupyter NotebookLicense:MITStargazers:10324Issues:561Issues:142

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

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graph_nets

Build Graph Nets in Tensorflow

Language:PythonLicense:Apache-2.0Stargazers:5352Issues:223Issues:130

Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

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PARL

A high-performance distributed training framework for Reinforcement Learning

Language:PythonLicense:Apache-2.0Stargazers:3255Issues:62Issues:516

CourseraML

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

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capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

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GradientDescentExample

Example demonstrating how gradient descent may be used to solve a linear regression problem

Language:PythonLicense:MITStargazers:537Issues:23Issues:6

DeepKoopman

neural networks to learn Koopman eigenfunctions

Language:Jupyter NotebookLicense:MITStargazers:368Issues:18Issues:9

IBAMR

An adaptive and distributed-memory parallel implementation of the immersed boundary (IB) method

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Visualizing-Deep-Learning

A series of blog posts on visualizing deep learning.

ICT

Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

NN-Topology-Post

A blog post exploring a connection between neural networks and topology

stokesian-dynamics

Implementation of Stokesian Dynamics in Python

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yoel-zeldes.github.io

This is my personal blog about machine learning and software engineering.

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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ml-ng

Implementation of machine learning algorithms with octave - exercises for Andrew Ng's machine learning course on Coursera

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Kickoff_Workshop

FDSI Kickoff Workshop (May 2018)

SimToolbox

A toolbox for object-tracking simulation

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Density-Stratified-Rigid-Lid-Linear-Shear

Matlab code to compute traveling wave solutions to Euler for a density stratified with linear shear as well as compute the spectral stability of the traveling wave solutions. Uses a modification of the nonlocal fomulation of the water-wave problem due to Ablowitz, Fokas, and Musslimani.

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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DFIB

Divergence free immersed boundary method

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Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

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Direct-and-Iterative-Solver-of-Linear-Systems

In this paper, we will be evaluating numerical methods for direct and iterative solvers of linear systems. From class we have discussed the various methods; Gauss elimination with pivoting techniques, Jacobi Iterative Method, Gauss-Seidel Iterative Method, Successive Over-Relaxation Method, Iterative Refinement Method, and Conjugate Gradient Method. In this paper, using Python programming language, we will discuss how each method evaluates various linear systems of equations, and then we will discuss the complexity, accuracy, and stability of each method

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