Rishik Mourya's Projects
My portfolio website for written articles, deployed projects and research publications.
My portfolio README for showcasing my skills and experiance.
Dotfiles that grows into you!
Easiest setup to create custom Linux command using python
Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch.
Meet the next generation AI based Medical Platform where we will help you diagnose patients easily without any human error.
My utilities for DL and ML pipelines
Implementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
Implementing DCGAN for generating anime faces. The goal is to train a very simple model architectures, which produces highly realistic results. My generator is extremely simple, yet is actually able to produce surprisingly good results when trained enough. With image interpolation, this is clearly visible that the generator is not cheating/memorising the faces from the dataset.
KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon
Submission for COVID 19 Machine Learning Hackathon hosted by EA & HAM Club. The goal is to determine the destination floor of a person standing inside the elevator using hand signs. Accuracy of the model should be at least 90%.
Moon Racoons - Team for Open Innovative Challenge Hackathon
MXNet Gluon offers easy to build, prototype, debug and deployment for deep learning models. Lets learn it using some basic examples.
Video discussing this curriculum:
Awesome shell automation for python projects. After being tired of doing the same stuff and running the same commands over and over again for initiating my projects, I decided to create a single command, that automates the whole procedure for me.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository provides hands on tutorial for Reinforcement Learning from scratch
, I am Rishik, and I feel most alive 😃 in those 10 seconds 🕐, that go through me running that code and seeing the loss converge 📉. 
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent