LLM101n: Let's build a Storyteller

Using GPT to parse PDF

A high-throughput and memory-efficient inference and serving engine for LLMs

本项目旨在分享大模型相关技术原理以及实战经验。

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

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

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…

Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"

https://acl2023-retrieval-lm.github.io/

Awesome Machine Unlearning (A Survey of Machine Unlearning)

K-Quant: A Platform of Temporal Financial Knowledge-enhanced Quantitative Investment

Simple demo of linear regression built with numpy in a jupyter notebook.

Practical course about Large Language Models.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

Open Academic Research on Improving LLaMA to SOTA LLM

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Here is the source code from all of my tutorials.

Python - 100天从新手到大师