PyTorch code for experiments with a semi-NMF based regularization objective over multiple autoencoder architectures for hyperspectral unmixing. [`CODE`](https://github.com/dv-fenix/SemiNMF-Autoencoders/)
A dataset consisting of 11,400 python codes for a retrieval based code clone detection. [`LINK`](https://zenodo.org/record/5388452#.Ybd82y8RqJ9)
PyTorch reproduction of the paper titled 'Hyperspectral Unmixing Using a Neural Network Autoencoder' (Palsson et al. 2018). [`CODE`](https://github.com/dv-fenix/HyperspecAE)
Implemented some Policy Gradient RL algorithms (using PyTorch) on the CartPole environment by OpenAI. [`CODE`](https://github.com/dv-fenix/ReinforcementLearning)
Designed an autonomous vehicle using a combination of image processing and IoT methods. [`CODE`](https://github.com/dv-fenix/sdc) [`DEMO`](https://drive.google.com/drive/folders/1a9_sL_4uRCQaQuHgoHzgnGEBgMN6eqTH?usp=sharing)