ahhBin

Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research)

Book3_Elements-of-Mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

LLM101n

LLM101n: Let's build a Storyteller

awesome-ai-tutorials

The best collection of AI tutorials to make you a boss of Data Science!

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

llms-from-scratch-cn

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

create-million-parameter-llm-from-scratch

Building a 2.3M-parameter LLM from scratch with LLaMA 1 architecture.

commented-transformers

Highly commented implementations of Transformers in PyTorch

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm-datasets

High-quality datasets, tools, and concepts for LLM fine-tuning.

pycon2024

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

former

Simple transformer implementation from scratch in pytorch.

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

web-llm

High-performance In-browser LLM Inference Engine

Steel-LLM

Train a Chinese LLM From 0 by Personal

wtf-langchain

FedDAT

[AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

AIGC_Interview

📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~

Python

All Algorithms implemented in Python

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

GitHub-Chinese-Top-Charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

DeepLearing-Interview-Awesome-2024

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

FedAvg

This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.

FedProx

Federated Optimization in Heterogeneous Networks (MLSys '20)

DeltaPapers

Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.

algorithm-journey

左程云的算法和数据结构通关课

Dive-into-Federated-Learning

Tutorials and paper lists for federated learning

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)