ban-vqa. Bilinear attention networks for visual question answering
548MulLowBiVQA. Hadamard Product for Low-rank Bilinear Pooling
72cbp. Multimodal Compact Bilinear Pooling for Torch7
70nips-mrn-vqa. Multimodal Residual Learning for Visual QA (NIPS 2016)
39ddx. Deep Learning Dashboard
39orthoad. Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
28Pensees. A collection of fragments for reading research papers.
6validate.js. Lightweight JavaScript form validation library inspired by CodeIgniter.
4PREA. PREA for the comparative evaluation to MGBR.
4dropc-wan. Regularization of Neural Networks using DropConnect
4rnn. Recurrent Neural Network library for Torch7's nn
3AMMA. Attentional Multi-Modal learning for Animation.
2academic-kickstart. HTML
2ngp_pl. Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
2tiny-cuda-nn. Lightning fast C++/CUDA neural network framework
1Mask2Former. Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
1nerf_pl. NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
1spectral-lib. Lua
1VQA_LSTM_CNN. Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
1skip-thoughts.torch. Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
1mid.metric. Python
1bashrc-vimrc. bashrc and vimrc I'm using.
1Eye-Tracking. Testbed for eye-tracking data of KidsVideo.
1visdial. [CVPR 2017] Torch code for Visual Dialog
1flownet. Lua
1awesome-rnn. Recurrent Neural Network - A curated list of resources dedicated to RNN
1pycvmpeg7. A port of the MPEG-7 visual descriptor library (MPEG7FexLib by Bilkent University) with slight tweaks to python
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