cheesama's Projects
Using LSTM network for time series forecasting
market cap datasets (1995~2018 daily)
MORPHeme based Intent & Entity classifier
MORPHeme tagger based Intent N Entity classifier using sklearn
multi repo issue management tool
Natural Language Processing (Crawling , Sentiment Analysis, Classification, Clustering)
NLP Shared tasks (NER, SRL) using NSML
Natural Language Processing Best Practices & Examples
NLP 101: a resource repository for Deep Learning and Natural Language Processing
Natural Language Processing with PyTorch
Examples and libraries for "Natural Language Processing in Action" book
Natural Language Flow for business-chatbot
custom websocket node implementation for node-red
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
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PROPhet based Otimized stock portPOLio
Python package that implements the SS3 text classifier with visualizations tools for Explainable Artificial intelligence (XAI)
Pynori - Lucene Nori, Korean Mopological Analyzer, in Python
Pytorch seq2seq chatbot
Minicourse in Deep Learning with PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Serving PyTorch Models on AWS Lambda
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
An open source framework for seq2seq models in PyTorch.
Minimal PyTorch implementation of YOLOv3