eschaffn

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)