Python 排行榜

Reddit_Commentator_AIHawk is a Python project showcasing the power of artificial intelligence in social media interaction. This tool demonstrates AI's capability to generate contextually relevant Reddit comments using GPT models and LangChain. It automates the process of analyzing trending posts and creating engaging responses.

we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.

在ComfyUI中进行lora微调的节点,依赖于kohya-ss/sd-scripts等训练工具(Nodes for fine-tuning lora in ComfyUI, dependent on training tools such as kohya-ss/sd-scripts)

[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation

[ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs

IROS/ISVC 2023: Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms

Wyoming protocol server for Microsoft Azure speech-to-text

繁體中文（台灣）個人資料去識別化工具，讓業務文件可以安全地送進 AI 處理 / Reversible Traditional-Chinese (Taiwan) PII de-identification for LLM workflows — fully local

A system monitoring tool powered by LLMs that provides real-time insights about your system's performance

[NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient

Praetor is a lightweight finetuning data and prompt management tool

High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库，涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。

52-week journey from QA/SDET to GenAI Testing - learning in public with weekly mini-projects, code, and honest documentation of struggles and wins.

Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22

Korean MRC (KorQuAD) with KoBERT

Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embeddings. Compatible with 🤗 transformers.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

A set of nodes to prepare the noise predictions before the CFG function

ComfyUI custom nodes for 100+ AI models — Seedance, Kling, Veo3, Flux, HiDream, GPT-image, Imagen4 and more via muapi.ai