Nipi64310's repositories
AI-Surveys
整理AI相关领域的一些综述
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
AutoPhraseX
Automated Phrase Mining from Massive Text Corpora in Python.
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
ccf_2020_qa_match
ccf 2020 qa match competition top1
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Chinese-sentence-similarity-task
中文问题句子相似度计算比赛及方案汇总
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
DeepLearningExamples
Deep Learning Examples
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
gaic_track3_pair_sim
全球人工智能技术创新大赛-赛道三-冠军方案
gec_error_template
基于模板的文本纠错；Automatically Mining Error Templates for Grammatical Error Correction
gector
Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf
haystack
:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Nipi64310
Config files for my GitHub profile.
pynndescent
A Python nearest neighbor descent for approximate nearest neighbors
pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
quest_qa_labeling
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
ServingAgent
A simple middleware to improving GPU utilization then speedup online inference.
showdoc
ShowDoc is a tool greatly applicable for an IT team to share documents online一个非常适合IT团队的在线API文档、技术文档工具
tf-metric-learning
Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
transformer-deploy
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Transformers-Domain-Adaptation
Adapt Transformer-based language models to new text domains
uie_pytorch
PaddleNLP UIE模型的PyTorch版实现
uroboros
A GNU/Linux monitoring and profiling tool focused on single processes.
Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
wiki-error-extract
根据维基百科历史编辑数据提取纠错语料。