Homework for Deep Learning Fundamentals class (BIT北理工, NLP, 深度学习基础)
work1.ipynb: use MLP to forecast house price on kagglework2.ipynb: classify images on CIFAR-10 (implement the pytorch function by our own)work3.ipynb: use CycleGAN to realize style transfer between photographs and Monet paintings.work5.ipynb: achieve sarcasm detection via Attention-Based BiLSTMwork3_result_compressed.mp4: result display for work 3- work4: Object Detection(https://github.com/llada60/2022_BIT_object_detection_competition)