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Jupyter Notebook 8,655 2,070 Updated Jun 26, 2025

从零构建大模型:从预训练到RLHF的完整实践

Python 2,667 207 Updated May 20, 2026

非常详细的大模型LLM的学习教程与笔记

Python 189 19 Updated Oct 23, 2025

📚 从零开始构建大模型

Jupyter Notebook 31,392 2,974 Updated May 6, 2026

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Jupyter Notebook 3,504 461 Updated Jun 10, 2026

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

HTML 27,405 5,730 Updated May 19, 2026

TTT Code Release

Python 160 30 Updated Aug 16, 2020

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型

Jupyter Notebook 2,635 285 Updated May 4, 2026

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

Jupyter Notebook 97,365 14,907 Updated Jun 2, 2026

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Jupyter Notebook 27,103 6,298 Updated Apr 24, 2026

Scripts to download image metadata from the ISIC-Archive RESTful API

Python 2 1 Updated Jun 10, 2017

《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书,适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材,我决定将其翻译成中文,并通过 GitHub 进行开源共享。

HTML 3,755 635 Updated Sep 7, 2025

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

Jupyter Notebook 4,209 580 Updated Mar 26, 2026
Python 5 1 Updated Aug 15, 2022

Official implementation of paper 'Fair Feature Distillation for Visual Recognition'

Python 17 4 Updated Jun 23, 2021

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

Python 763 167 Updated Jan 13, 2021

A simple baseline for pedestrian attribute recognition in surveillance scenarios

Python 341 81 Updated May 26, 2020

Popular pedestrain detection datasets

79 7 Updated Sep 28, 2020

A collection of various deep learning architectures, models, and tips

Jupyter Notebook 17,537 4,106 Updated Feb 8, 2024

ResNet-18 baseline for CelebA attribute prediction

Python 5 Updated Oct 20, 2021

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

Jupyter Notebook 413 82 Updated Jul 24, 2023

GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset

Jupyter Notebook 18 3 Updated Feb 20, 2022

Materials for EACL2024 tutorial: Transformer-specific Interpretability

Jupyter Notebook 66 3 Updated Mar 26, 2024

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Jupyter Notebook 127 14 Updated Mar 22, 2021

Reinforcement learning tutorials

Python 411 156 Updated Mar 25, 2023

李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/

Python 7 Updated Mar 1, 2021

Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'

Python 18 3 Updated Apr 5, 2022

For the paper "Group Visualization of Class-Discriminative Features"

Python 5 2 Updated Aug 24, 2020

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

Python 37 24 Updated Jan 23, 2026
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