aidanmrli

aidanmrli's Stars

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k1.7k

• vittrom/PT-pathoptim

  Language:Python32

• Julia-Tempering/Pigeons.jl

  Sampling from intractable distributions, with support for distributed and parallel methods

  Language:Julia8910

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.3k536

• lywang3081/Awesome-Continual-Learning

  A paper list of our recent survey on continual learning, and other useful resources in this field.

  738

• htn274/CAFPoNo

  Code for the paper "Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows" - ECAI 2024

  Language:Python31

• RomanHauksson/academic-project-astro-template

  Simple project page template for your research paper, built with Astro and Tailwind CSS

  Language:Astro28616

• MarkUsProject/Wiki

  Markus Project Wiki pages

  1348

• robjhyndman/CV

  RJH Curriculum Vitae

  Language:TeX9471

• Silent-Zebra/twisted-smc-lm

  Language:Python246

• HamidrezaKmK/oslow

  order-based structure learning with normalizing flows

  Language:Jupyter Notebook3

• nimashahbazi/optiver-trading-close

  Language:Jupyter Notebook41297

• massgravel/Microsoft-Activation-Scripts

  Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

  Language:Batchfile110k10.6k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k1.2k

• google/tf-quant-finance

  High-performance TensorFlow library for quantitative finance.

  Language:Python4.6k584

• Dhairya-Khara/Intentful

  Language:JavaScript23

• nas5w/interview-guide

  An opinionated, actionable guide for software engineering interviews.

  Language:Astro3.2k122