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

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

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

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】’Aw

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Overview and Installation 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.

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/

PESummary is a python package to analyse, visualise and distribute posterior samples collected from any Bayesian inference code. PESummary is one of the main workhorses of the LIGO/Virgo/KAGRA collaboration. It is used by the PE group to analyse and distribute posterior samples.