Shihao Liang's repositories
CoKE-pytorch
PyTorch implmentation for CoKE: Contextualized Knowledge Graph Embedding. Original implementation was based on paddle.
ML-Framework-for-Diverse-Applications-in-Trading-and-Finance
Final project of COMP 7409 Machine Learning in Trading and Finance – Group 7.
FAQ-System-COUGH
Graduate project in Tianjin University. An FAQ system based on BM25 and RocketQA. Corpus from COUGH, a multi-lingual FAQ retrieval dataset for COVID-19.
Plate-Detection-Yolov5
Plate detection based on Yolo-v5. Internship project in Beijing Wenge Technology Co.,Ltd
-lshwebsite
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
bert
TensorFlow code and pre-trained models for BERT
BMTools
Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins
Contrib
contribution works with PaddlePaddle from the third party developers
covid-faq
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
HKU-MSc-CS-Resource
Coure resources, assignments and projects during HKU CS study.
COMP-7607-Final
Final project of COMP 7607 Natural Language Processing
For-align-ICNet-paddle
Reproduction
For-Align-RAN-paddle
Reproducing Residual Attention Network using paddlepaddle
ICL_PaperList
Paper List for In-context Learning 🌷
ICNet-Paddle2.2.0rc
Paddlepaddle implementation for ICNet.
ICNet-pytorch
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
KGQA-Based-On-Covid19-medicine-rumors
A system of natural language processing, knowledge map, automatic question answering system in the field of medicine. Novel coronavirus pneumonia symptoms, disease treatment and medication, drugs enquiry, and new rumor related to the outbreak of the virus are currently supported.
language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
PAQ
Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"
RocketQA
🚀RocketQA
self-instruct
Aligning pretrained language models with instruction data generated by themselves.
xlang-paper-reading
Paper collection on building and evaluating language model agents via executable language grounding