tfDlg is a Python library for transformer-based language models and dialog models with TensorFlow.
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Updated
Apr 9, 2021 - Python
tfDlg is a Python library for transformer-based language models and dialog models with TensorFlow.
A novel technique for creating crossovers using NER Swap + GPT2/LSTM finetuning.
An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems, NoDaLiDa 2023
I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.
Auto generate tweets powered by pre-trained GPT2 based large language model (LLM) available offline.
A personalized autocomplete (next word prediction) project using three different architectures: stacked LSTMs, Seq2Seq with Attention and LSTMs and GPT-2, written from scratch.
This repository contains NLP Transfer learning projects with deployment and integration with UI.
Machine Learning Project. Please refer to my presentation-https://github.com/gongl1/projectdemo3/blob/main/Pattern%20Patent_ML.pptx - python, transformers, gpt2, nlp, sk-learn
Team project - generate recipe based on ingredients available in the fridge
GPC (Generative Pre-trained Coder based on GPT-2) is a coder assist tool that uses the GPT-2 natural language processing model to generate code. It can help developers by providing suggestions for completing code snippets based on the context and syntax of the code. This can save time in coding.
[NLPCC'23] ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles PyTorch Implementation
Fine-tuned GPT2 to generate Indian recipes based on few listed ingredients.
Terminal-based graph plotter for TensorFlow / GPT-2 neural network training data
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