Posts

https://baijiahao.baidu.com/s?id=1743820144854939367

• https://github.com/acids-ircam/diffusion_models

  • A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

• https://github.com/huggingface/diffusers

  • Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

一文解释 Diffusion Model (一) DDPM 理论推导 一文解释 Diffusion Model (二) Score-based SDE 理论推导

A list of awesome resources on normalizing flows. https://github.com/janosh/awesome-normalizing-flows 可以收藏学习下

A PyTorch Implementation of Density Estimation Using Real NVP https://github.com/xqding/RealNVP

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization. https://github.com/Zymrael/awesome-neural-ode

http://rlchina.org/

‘Unstable Baselines(USB) - designed to serve as a quick-start guide for Reinforcement Learning beginners and a codebase for agile algorithm development’ x35f https://github.com/x35f/unstable_baselines

【强化学习实战教程】’The Hands-on Reinforcement Learning course - Free course that takes you from zero to Reinforcement Learning PRO’ Pau Labarta Bajo GitHub: github.com/Paulescu/hands-on-rl

https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial6/Transformers_and_MHAttention.html https://wandb.ai/carlolepelaars/transformer_deep_dive/reports/Transformer-Deep-Dive--VmlldzozODQ4NDQ

【计算机视觉Transformer应用文献资源集】’Awesome Transformer in CV - A Survey on Transformer in CV.’ by Sanctuary GitHub: https://github.com/Yutong-Zhou-cv/Awesome-Transformer-in-CV

• Bilby is a modular Bayesian Inference code written in python
• Primarily for compact binary coalescence parameter estimation, but versatile enough for other problems
• Waveforms from LALsimulation, data processing tools from gwpy
• Out of the box use:
  • pip install bilby
• Install from source to contribute to developing:
  • Clone from git.ligo.org
  • Full instructions: https://lscsoft.docs.ligo.org/bilby/installation.html

Tutorials

Using machine learning to auto-tune chi-squared tests for gravitational wave searches https://dcc.ligo.org/DocDB/0177/P2100244/001/auto_tuned_chi_squared.pdf

https://wiseodd.github.io/techblog/2018/03/11/fisher-information/