Synthesis Reports:
CNNs ~ https://adityapanwar.notion.site/Convolutional-Neural-Networks-CNNs-efe2763d947840139181791481c33591
RNNs ~ https://adityapanwar.notion.site/Recurrent-Neural-Networks-RNNs-c1dc36bbf163451a87bd27663e77df9d
Attentions ~ https://adityapanwar.notion.site/Attention-Models-2ab02fd42a77415da1a590b5658612d1
Transformers ~ https://www.notion.so/adityapanwar/Transformers-21736229e7a34ef2ab22dd1dd1064696
Kaggle Notebook for GANs ~ https://www.kaggle.com/adityapan/gans-for-generating-weakly-reflexive-relations
Datasets:
DVQA ~ https://drive.google.com/drive/folders/1EzduOrm1izxP2DlqZs89OD7vYIjZULgm?usp=sharing**
VQA Abstract ~ https://drive.google.com/drive/folders/1vIbuQACWagN0j3qoeSuDUdVKUMvBHCwv?usp=sharing
[Containing model weights, preprocessed data, performance measure etc.]
Notebooks:
SAN-VQA Demonstration ~ https://colab.research.google.com/drive/1gLexF10EtafVxWEYHHp8Lv53H2WEDC_R?usp=sharing
SAN-VQA on VQA ~ https://colab.research.google.com/drive/12MYBlhD2hUPK0GZ8FjmIqGvleph_jf1U?usp=sharing
Preprocessing of DVQA ~ https://colab.research.google.com/drive/1G_TmUqKx3bXukhUQKn8KK948jm5JcGPO?usp=sharing
SAN-VQA on DVQA ~ https://colab.research.google.com/drive/1DMTx0lkz2UvyBEFyO2mBn5veEppvY_rf?usp=sharing
Binary Classifier ~ https://colab.research.google.com/drive/1C2tyshkPEgaPdLW_9V5IyQ2shi1TRrGV?usp=sharing
Regression Model and OCR ~ https://colab.research.google.com/drive/1dtjMx0FjDGG8FV5XyGNwKFPwkWRFkuUq?usp=sharing
Performance Analysis of PReFIL ~ https://colab.research.google.com/drive/13bcnxXMIBO2ne69uJwhseFhDkIv1uxtD?usp=sharing
Datasets:
Link for all datasets - http://efrosgans.eecs.berkeley.edu/pix2pix/datasets/
Drive link for all things necessary for pix2pix - https://drive.google.com/drive/folders/1mm3zxxlA_KwEdM3UbYDpAbQLwnEkBQsA?usp=sharing
Notebooks:
Demonstration of pix2pix - https://colab.research.google.com/drive/1HBbk8KdCNuZpOeNNKe-HDspD51Rvd3hK?usp=sharing
Detailed Study on pix2ix - https://colab.research.google.com/drive/1i1juRFut85oLUYAlC3E0-k1XKQn6M31N?usp=sharing