llama3 implementation one matrix multiplication at a time

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Multi-Fluid Linear Response code described in https://arxiv.org/abs/2011.12503

An emulator for the FlowsForTheMasses non-linear perturbative power spectrum of massive neutrinos, as described in https://arxiv.org/abs/2311.11240

Non-linear cosmological perturbation theory for massive neutrinos

⚡ Dynamically generated stats for your github readmes

Evolution of the number of particles in cosmological simulations since 1965

CLASS_ROT: CLASS for Rotated CMB Power Spectra

Public repository of the Cosmic Linear Anisotropy Solving System (master for the most recent version of the standard code; GW_CLASS to include Cosmic Gravitational Wave Background anisotropies; cla…

A user-friendly python package for CSST cosmological emulator to predict various statistics.

Code for Anisotropies in the Microwave Background

Fast and user-friendly power spectrum calculation Python package for N-body simulations.

Precise symbolic emulators of the linear and nonlinear matter power spectrum

Modular halo model code for matter, galaxies, lensing, tSZ and CIB.

Python wrapper for the FCFC code for fast two-point correlation function computation.

C code for auto and cross power spectra evaluation. Plus a simple python interface.

A Python package for subhalo abundance matching (SHAM) with scatter.

Python package for dealing with the Halo Model

A pure Python halo-model implementation for power spectra of any large-scale structure tracer combination.

Python package for studying large scale structure, cosmology, and galaxy evolution using N-body simulations and halo models

【编程随想】收藏的电子书清单（多个学科，含下载链接）

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

100+ Python challenging programming exercises

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing