Pinned Repositories
self-rag
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
514-Final-Project
Continuous-Representation-Experiment
In this project I train and evaluate three different methods for next-word prediction using LSTMs and continuous value inputs and outputs. With what I call sequence to token (S2T), an input sequence is encoded as float values (embeddings) and used to predict a final masked token in the sequence.
CSE535Project4
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
tf-metal-experiments
TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
guardrails
Adding guardrails to large language models.
InstructABSA
Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
eschaffn's Repositories
eschaffn/514-Final-Project
eschaffn/Continuous-Representation-Experiment
In this project I train and evaluate three different methods for next-word prediction using LSTMs and continuous value inputs and outputs. With what I call sequence to token (S2T), an input sequence is encoded as float values (embeddings) and used to predict a final masked token in the sequence.
eschaffn/CSE535Project4
eschaffn/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
eschaffn/tf-metal-experiments
TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)