The code was tested on a Ubuntu 20.04 cluster with each server consisting of 8 V100 16GB GPUs. First clone the repo and set up the required packages in a conda environment. You might need to make minor modifications here if some packages are no longer available.

The code uses hydra 1.0 for configuration with submitit plugin for jobs via SLURM. We provide a launch.py script that is a wrapper around the training scripts and can run jobs locally or launch distributed jobs.

We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions. We train the model jointly to predict the next action in a video sequence, while also learning frame feature encoders that are predictive of successive ...

2021年6月3日 · We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions.

We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to

2024年9月4日 · AVT 开源项目教程. AVT Code release for ICCV 2021 paper "Anticipative Video Transformer" 项目地址:https://gitcode.com/gh_mirrors/avt/AVT. 本文档旨在为开源项目 AVT（链接：https://github.com/facebookresearch/AVT.git）提供详细的安装和使用指南。我们将介绍项目的目录结构、启动文件以及配置 ...

We collect Verilog designs from GitHub and use a scoring system to filter out low-quality code. The refined dataset is used for the first round of LLM fine-tuning to teach Verilog syntax and design principles. For the second round, we create a synthetic dataset using ChatGPT-3.5 and a verification process to ensure code correctness.

We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions.

DeepSeek-Coder是一系列基于2T代码和自然语言数据训练的代码语言模型。 提供1B至33B不同规模版本，支持项目级代码补全和插入。 该模型在多种编程语言和基准测试中表现出色，支持87种编程语言，并在HumanEval、MBPP等评测中优于现有开源模型。 1. DeepSeek Coder简介. DeepSeek Coder是一系列代码语言模型，每个模型都从头开始在2T标记上训练，其中87%是代码，13%是英文和中文的自然语言。 我们提供了从1B到33B版本的各种规模的代码模型。 每个 …

Abstract: We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions. We train the model jointly to predict the next action in a video sequence, while also learning frame feature encoders that are predictive of ...