Sang-gil Lee's Projects
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Fork of DDPG-Keras-Torcs for time-series anomaly detection
Quiz code of debugging a badly-implemented neural networks
The most outlandish Deepest hackathon challenge ever!
Implementation of feedback alignment learning in PyTorch
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
miRNA Discovery Project : simple, easy-to-use, rule-based miRNA candidate discovery with multithread acceleration
Term project code for ML class
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
NeMo: a toolkit for conversational AI
init
Pedestrian detection with convolutional neural networks
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Semantic Segmentation Architectures Implemented in PyTorch
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
Simple shoes classification with ResNet50 in Keras for Deepest Hackaton Challenge
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
Weekly Paper Implementation Team