Project Page: https://github.com/tencent-ailab/hok_env arXiv: https://arxiv.org/abs/2209.08483 Abstract: This paper introduces Honor of Kings Arena, a reinforcement learning (RL) environment based on Honor of Kings, one of the world’s most popular games at present. Compared to other ...
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The codes and models will be released at https://github.com/mayuelala/SimVTP. 相关模型 SimVTP 适配资源: CPU 文本视频检索 2022 SOTA! ON MSRVTT R@153.6 R@581.9 2022/11/25 11:21 参与者+7 FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction We present a large-scale...
今日,腾讯AI Lab宣布将于9月底开源“Tencent ML-Images”项目,该项目由多标签图像数据集ML-Images,以及业内目前同类深度学习模型中精度最高的深度残差网络ResNet-101构成。 该项目的开源,是腾讯AI Lab在计算机视觉领域所累积的基础能力的一次释放,为人工智能领域的科研人员和工程师提供充足的高质量训练数据,及简单易...
基于 ncnn,开发者能够将深度学习算法轻松移植到手机端高效执行,开发出人工智能 APP,将 AI 带到你的指尖。 大前端 Javascript OMI:Web Components框架 查看项目 项目描述: OMI 是基于webcomponents前端跨框架框架,曾荣登GitHub上最热门的JavaScript开源项目,2018年被risingstars入选明星项目。 数据库 C/C++ 3TS:...
v2foracceleration (requires CUDA 11.8 or above)python -m pip install ninja python -m pip install git+https://github.com/Dao-AILab/flash-attention.git@v2.6.3#6. Install xDiTforparallel inference (It is recommended to use torch 2.4.0 and flash-attn 2.6.3)python -m pip install xfuser=...
Tencent Media Lab has released its latest codec product, a resource efficient real-time H.266/VVC decoder for x86 and ARM-based devices. The decoder can be downloaded for evaluation using a custom version of VLC Media player on Tencent's decoder GitHub page...Read More 2020-12-20 Dr. Sha...
据腾讯AI Lab介绍，“Tencent ML-Images”项目的深度学习模型，目前已在腾讯多项业务中发挥作用，如“天天快报”的图像质量评价与推荐功能。此外，腾讯AI Lab团队还将基于Tencent ML-Images的ResNet-101模型迁移到很多其他视觉任务，包括图像物体检测，图像语义分割，视频物体分割，视频物体跟踪等。近几年，腾讯项目开源...
参与编写的 Tencent AI安全的风险矩阵 终于上线啦。 腾讯AI Lab - 腾讯人工智能实验室官网ai.tencent.com/ailab/zh/news/detial?id=68 这是一份具有高实用性的AI安全技术指导框架,由腾讯两大实验室 腾讯AI Lab 和朱雀实验室 联合编纂。本报告借鉴了网络攻防领域中成熟度高、实战意义强的开源安全研究框架ATT...
This paper describes the Tencent AI Lab’s submission of the WMT 2020 shared task on chat translation in English-German. Our neural machine translation (NMT) systems are built on sentence-level, document-level, non-autoregressive (NAT) and pretrained models. We integrate a number of advanced te...