Abhisek Panda

Feature-Generating-Networks. Zero Shot Learning with Feature Generating Networks

Sparse-Autoencoders. Sparse Autoencoders using FashionMNIST dataset

GMMN-Pytorch. Implementation of Generative Moment Matching Networks in pytorch

dotfiles. Config files for manjaro linux

EvolutionaryNN. Using genetic Algorithm to decide best possible architecture of a Neural Network

CS345-Algo2-Assignments. Solutions to assignments of CS345A course at IIT Kanpur

RQs_in_Regex_Graphs. Code for performing efficient Reachability Queries given in the form of regular expression in node and edge labelled graphs

Denoising-Autoencoders. Denoising Autoencoders in pytorch

PPO-PyTorch. Implementation of Proximal Policy Optimization(PPO)

Pong-DQN. Implementation of Deep Q Networks(DQN) in pytorch for solving Pong

thunder.nvim. Neovim configuration

Policy-Gradients. Implementation of vanilla policy gradient algorithms

VaDE. Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

RL. Intro to Reinforcement Learning

CNNpainter. Source code for project done as a part of CS771 course on Machine Learning, offered in the fall semester of 2017 at IIT Kanpur.

CADA-VAE. Implementing Aligned VAE for GZSL