Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

深度学习经典、新论文逐段精读

《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

PyTorch implementations of Generative Adversarial Networks.

A playbook for systematically maximizing the performance of deep learning models.

Graph Neural Network Library for PyTorch

llama3 implementation one matrix multiplication at a time

Official implementation of "Particle Transformer for Jet Tagging".

《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓

A curated list of resources for using LLMs to develop more competitive grant applications.

Source content for the Qiskit Textbook

A framework for fast simulation of a generic collider experiment

This is a documentation for running events generation with Whizard+Pythia8 framework.

关于Transformer模型的最简洁pytorch实现，包含详细注释

Hybrid Quantum-Classical Machine Learning in TensorFlow

run Whizard At Ihep Server. The scripts and READMEs was originally written by Xin Mo and Gang Li. This repo is to keep Env. update to date (2023).

main repository for code

Implementation of classical models and quantum algorithms for the max k-cut problem with a preprocessing framework

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.

Algorithms for optimization tasks (operations research)

[JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

A Toolkit for Reproducible Study, Application and Verification of QAOA

Materials for the tutorial "Combinatorial Optimization on Quantum Computers"

Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds

Optimize QAOA circuits for graph maxcut using tensorflow