Python 排行榜

Give non-multimodal Claude Code main models the ability to see pasted screenshots — a ~200-line UserPromptSubmit hook.

CLI & async Python library for free AI chat, image & video generation.

Characterize Anything: A Wondrous Chemical Reaction between vision models and AI Characters

SemEval 2022 Task 5: Multimedia Automatic Misogyny Identification - baseline models and dataset

[EMNLP 2025 Findings] MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation

ACL 2024 (SRW), Official Codebase of our Paper: "MoExtend: Tuning New Experts for Modality and Task Extension"

API/MCP wrapper for RagAnything

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation [TMLR26]

[NAACL 2025 Findings] Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

[ICLR 2026] Official repository of "Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs".

Recurrence Meets Transformers for Universal Multimodal Retrieval

Official Implementation of "Visual Agentic Memory: Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval"

This is a multi-modal fusion method based on VGG16 and FastText for identifying useful information collected from social media platforms.

Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/

Thinking-native compiler for LEET Language Understanding item sets — killer-item design grammar, verification separation, deterministic gate chain, 3-model benchmark

Hikari's curated English measured notes on local LLM systems (serving, specdec, training, steering).

Turn any NVIDIA GPU into a local AI platform. Inference + fine-tuning in your browser. One command to start, automatic clustering.

TokenPowerBench: Benchmarking the power consumption of LLM inference across engines and deployment configurations

Automated Triton w8a8 block FP8 kernel tuning tool for vLLM. Auto-detects model architecture, supports Qwen3-Coder-30B-A3B-Instruct-FP8/DeepSeek-V3/custom models, multi-GPU parallel tuning, and generates optimized kernel configs for quantization.

A curated collection of Claude Code agent skills that accelerate the entire vLLM development lifecycle.