Stars
A Julia library for Pauli propagation simulation of quantum circuits and quantum systems.
Python implementation of algorithms using isometric tensor product states (isoTPS). The Yang-Baxter move (YB-move) is used to shift the orthogonality hypersurface.
This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Awesome Learn From Model Beyond Fine-Tuning: A Survey
Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
Fast and Easy Infinite Neural Networks in Python
Code for predicting ground state properties using new ML model.
This is a list of papers on the topic of how machine learning methods (including AI/LLM) are leveraged for specific tasks in quantum physics scenarios. (ML/AI/LLM for quantum science)
[ICML'25] Rethink the Role of Deep Learning towards Large-scale Quantum Systems
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
My implementation of Stanford CS336 assignments.
实现CS336的作业1，并从头开始构建一个transformer模型。Implement CS336's job 1 and build a transformer from scratch
Code for the paper "Language Models are Unsupervised Multitask Learners"
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
🔥Highlighting the top ML papers every week.
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
The most cited deep learning papers
PyTorch Tutorial for Deep Learning Researchers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈