This is your work, valued
Research scientist @NVIDIA working on deep generative models for sequences, with a particular focus on speech and audio. Personal account.
relational-rnn-pytorch. An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
246WaveFlow. A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
127NanoFlow. PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
67grouped-ssd-pytorch. PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
45feedback-alignment-pytorch. Implementation of feedback alignment learning in PyTorch
32seqgan-music. Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
28shoes_classification. Simple shoes classification with ResNet50 in Keras for Deepest Hackaton Challenge
7Pedestrian_Detection. Pedestrian detection with convolutional neural networks
5deepest-review-challenge. The most outlandish Deepest hackathon challenge ever!
3L0SG.github.io. JavaScript
3WPI_2. Weekly Paper Implementation Team
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