Python - 100天从新手到大师

🦜🔗 Build context-aware reasoning applications

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

A High-Quality Real Time Upscaler for Anime Video

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

One has no future if one couldn't teach themself.

Neural Networks: Zero to Hero

Examples and guides for using the Gemini API

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Playing Pokemon Red with Reinforcement Learning

[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

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

Code for the Make Your Own Neural Network book

A colab gradio web UI for running Large Language Models

Incredibly fast Whisper-large-v3

[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

身份证识别OCR

👩🏻‍🍳 A collection of example notebooks

python pandas pyecharts streamlit echarts

📋 NotebookMLX - An Open Source version of NotebookLM (Ported NotebookLlama)

对过往做做总结