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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
✨✨Latest Advances on Multimodal Large Language Models
LAVIS - A One-stop Library for Language-Vision Intelligence
Collection of AWESOME vision-language models for vision tasks
DALL·E Mini - Generate images from a text prompt
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
[CVPR 2023] STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
OpenMMLab Pose Estimation Toolbox and Benchmark.
A simple face detect and alignment method, which is easy and stable.
Facial Landmark Detection based on PyTorch
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up…
OpenMMLab Text Detection, Recognition and Understanding Toolbox
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Inpaint anything using Segment Anything and inpainting models.