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Introduction to C++ course for the CM Hub at Imperial College
Python libraries of interest to particle physicists. This is meant for educational purposes.
A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also include…
Data tools based on Fermi/GBM data tools
Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…
This repository contains all the updates, code, and documentation related to ClassiPyGRB.
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
Deep Learning Based Cosmic Ray Removal for Astronomical Images
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Implements synchrotron emission from cooling electrons
A cosmological GRB light curve simulator. Because, why not?
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ROOT training material and tutorials
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
A gedit plugin previewing markdown (.md) documents
Public repository for the Monte Python Code
Quick cosmic ray antiproton simulations for dark matter annihilation models using neural networks
This is the source code of the book "Introduction to Machine Learning Based on Mathematical Principles with Python".
HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!
The Multi-Mission Maximum Likelihood framework (3ML)