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All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

126 9 Updated Jun 16, 2024

๐Ÿค– Machine Learning Summer School deadlines

HTML 2,635 297 Updated Jul 21, 2024

This is a repository that helps me learn new things everyday.

1 Updated May 17, 2024

A Python package to learn the Koopman operator.

Python 41 9 Updated Jul 22, 2024

Paper summary/ project report/ Assignment template (LateX) for college students, scientists and writers

TeX 6 Updated Oct 9, 2018
131 Updated Dec 26, 2023

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

HTML 12,011 2,900 Updated Feb 2, 2024

๐Ÿ“บ Discover the latest machine learning / AI courses on YouTube.

14,623 1,771 Updated Jan 22, 2024

A collection of resources and papers on Diffusion Models

HTML 10,606 915 Updated Aug 1, 2024

Neural Tangent Kernel Papers

81 9 Updated Mar 6, 2024

๐Ÿ‘ค Multi-Armed Bandit Algorithms Library (MAB) ๐Ÿ‘ฎ

Python 127 26 Updated Sep 6, 2022

A multi-armed bandit (MAB) simulation library in Python

Python 8 1 Updated Jul 15, 2024

It is an open-source, educational, and Persian website on teaching "engineering probability and statistics" provided by volunteers without any expectations and is offered for free.

HTML 41 4 Updated Apr 3, 2024

A collection of notebooks on AI and some artifacts

Jupyter Notebook 8 1 Updated Aug 8, 2020

A Baby Robot's Guide to Reinforcement Learning

Jupyter Notebook 183 82 Updated Aug 26, 2023

FinRL: Financial Reinforcement Learning. ๐Ÿ”ฅ

Jupyter Notebook 9,535 2,319 Updated Aug 6, 2024
Jupyter Notebook 54 14 Updated Dec 21, 2023

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Python 8,558 1,639 Updated Aug 13, 2024

A simple Q-learning implementation in OpenAI Gym's "Taxi-v3" environment.

Python 6 2 Updated Nov 11, 2022

The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predictions" by Pau Vilimelis Aceituno, Masud Ehsani and Juergen Jost

Python 10 2 Updated Nov 24, 2019

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

Python 238 77 Updated Jul 10, 2024

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

Java 255 73 Updated Aug 5, 2024

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Jupyter Notebook 36,924 5,860 Updated Jul 29, 2024

Applied Deep Learning Course

3,067 644 Updated Jan 28, 2023

List of papers studying machine learning through the lens of category theory

Python 1,221 64 Updated Aug 14, 2024

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

886 59 Updated Aug 13, 2024

an Open Collaborative project to explore the implications โ€” theoretical or practical โ€” of the PDE perspective of ConvNets

Jupyter Notebook 22 1 Updated Oct 7, 2023

Propose & vote on reading group papers in the "Discussions" tab.

11 Updated Feb 20, 2024

A curated list of awesome computer vision resources

20,444 4,192 Updated May 17, 2024

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

JavaScript 11,347 40,923 Updated Aug 15, 2024
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