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PriceDive: 一个基于 Python 的电商价格追踪神器。自动监控淘宝、京东、拼多多商品价格，揭露“先涨后降”的促销套路。#Python #爬虫 #数据可视化 #电商 PriceDive: An e-commerce price tracker powered by Python. Automatically monitors prices on Taobao, JD.com, et…
A powerful tool for creating fine-tuning datasets for LLM
All parts of Claude Code's system prompt, 20 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, secur…
A book for Learning the Foundations of LLMs
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
The ultimate training toolkit for finetuning diffusion models
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
SkyRL: A Modular Full-stack RL Library for LLMs
Official electron build of draw.io
An open source implementation of CLIP.
Accelerator on how to finetune Microsoft's Florance-2 model for a variety of computer vision use cases.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
Unlimited-length talking video generation that supports image-to-video and video-to-video generation
FIBO is a SOTA, first open-source, JSON-native text-to-image model built for controllable, predictable, and legally safe image generation.
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.