Pinned Repositories
AAAves.github.io
auto-pku-in-out
北大出入校自动填写
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
BERT-NER
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
challenge-B-solution
dlsys_hw
cmu - 10-414/714 Deep Learning Systems
DRRG
Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493
freetype_chinese
Add Chinese text to image using opencv and freetype. /支持在opencv mat格式的图片上添加中文
NER-BERT-pytorch
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
AAAves's Repositories
AAAves/auto-pku-in-out
北大出入校自动填写
AAAves/AAAves.github.io
AAAves/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
AAAves/BERT-NER
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
AAAves/CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
AAAves/challenge-B-solution
AAAves/dlsys_hw
cmu - 10-414/714 Deep Learning Systems
AAAves/DRRG
Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493
AAAves/freetype_chinese
Add Chinese text to image using opencv and freetype. /支持在opencv mat格式的图片上添加中文
AAAves/NER-BERT-pytorch
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
AAAves/pytorch-cifar
95.16% on CIFAR10 with PyTorch
AAAves/rprog2017-ps4
R programming 2017 at TSE - Problem set 4
AAAves/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
AAAves/test-repo1