Starred repositories
Code release for ActionFormer (ECCV 2022)
Contrastive Video Question Answering via Video Graph Transformer (IEEE T-PAMI'23)
Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR‘20 https://arxiv.org/abs/2003.05863
视频硬字幕提取,生成srt文件。无需申请第三方API,本地实现文本识别。基于深度学习的视频字幕提取框架,包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行。
Generate handwritten numbers from 1 to 9 and make handwritten number database / 生成手写体数字1-9并构建数据集
learn from http://patreon.com/kidscancode
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
lianglili / rebiber
Forked from yuchenlin/rebiberA simple tool in Python to fix incorrect bib entries automatically, based on their official information from the full ACL anthology and DBLP (for ICLR and other conferences)!
ROCK model for Knowledge-Based VQA in Videos
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Generative Adversarial Text to Image Synthesis / Please Star -->
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
the implementation of YoloV1 by tensorflow
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
This is the code for "YOLO Object Detection" by Siraj Raval
3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
Starter code for working with the YouTube-8M dataset.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"