A comprehensive library for implementing LLMs with a unified training pipeline and model evaluation.
Automatically evaluate your LLMs in Google Colab with LLM AutoEval.
Self-evaluating interview for AI coders.
A customizable framework for efficient large model evaluation and performance benchmarking.
A collection of benchmarks and datasets for evaluating large language models (LLMs).
VideoMind is a Chain-of-LoRA Agent designed for long video reasoning using human-like processes.
AI模型接口管理与分发系统，支持多种大模型统一调用，并提供企业和个人使用的分发管理服务。
Code for Segment Any Motion in Videos, enabling motion segmentation in video sequences.
A Python-based automated testing framework for evaluating the performance and inference capabilities of large language models.
KIMI AI is a long-text model reverse API supporting high-speed streaming output, intelligent dialogue, and document interpretation.
Run LLMs with MLX, a Python package for generating text and fine-tuning large language models on Apple silicon.
Official code for the CVPR25 oral paper on biomechanically accurate human reconstruction.
