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Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Implementation of automatic differentiation in VBozza's BinaryLensing
Computing transiting light curves of oblate planets by using Green's theorem
An extremely fast Python linter and code formatter, written in Rust.
Ananke: A theme for Hugo Sites
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Awesome resources on normalizing flows.
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
All sky Synchrotron emission simulation with JAX
Optax is a gradient processing and optimization library for JAX.
OpenAI 接口接入适配，支持千帆大模型平台、讯飞星火大模型、腾讯混元以及MiniMax、Deep-Seek，等兼容OpenAI接口，仅单可执行文件，配置超级简单，一键部署，开箱即用. Seamlessly integrate with OpenAI and compatible APIs using a single executable for quick setup and depl…
Aberth Method, a root-finding algorithms for simultaneous approximation of all the roots of a univariate polynomial.
A compensated Ehrlich-Aberth method is developed for the computation of polynomial roots with accuracy as if computed in quadruple precision and then rounded into double precision
Fast complex polynomial root finder, with support for arbitrary precision calculations
Microlensing computation code, including single, binary and multiple lenses
TUNet 2018 认证协议的纯 python 实现，含 auth4 / auth6 / net 认证。适用于服务器在无人交互时自动认证
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.