This site showcases my AI projects in GitHub. Most of the projects in this page deals with the application of Machine Learning and Artificial Intelligence in science and related fields

About Me Contact

This is me

I love thinkering with computers and programmes. In my vacant times I would either watch movies or else programme something. My formal education in computer programming includes only the basics of C and CPP which involves loops, conditional statements and other minor concepts. Because of my fascination with computers I self learned many of the programming languages and concepts. I have developed dynamic websites using PHP and MySQL, fiddled with my machine using BATCH and SHELL scripts and also did some vectorisized programming using MATLAB and R. Eventhough I love C, I dont have the patience and skills to write thousands of lines of code.

I was always captivated by human intelligence and dreamt of artificial intelliengent assistant doing my chores. To be frank I never would have thought that I would see any development of AI in my life time and would also programme one myself. But thanks to the open source concept in the technological world and also because of some altruistic people and companies such as Elon musk, Keras, Open AI, numpy etc; Even I can now code an "AI" programme with ease. I wrote my first machine learning programme in R using support vector machine but then I find out the power of neural networks. Python has one of the best and diverse libraries for development of neural networks and also it is much more faster than R. Because of these advantages now I have migrated to python. (some times I use R for dataset cleaning and preparation)

Projects

DrugAI

Generation and Classification of Drug Like molecule usings Neural Networks.

NERD

Evolution of
discrete data with
Reinforcement Learning.

ProteinStatsAI

Prediction of protein statistics and properties using neural networks.

Real

Prediction of protein statistics and properties using neural networks.

BrainGAN

Multi task and multi domain learning experiments with neural networks.

Probabilistic Memory Retrieval

A proof of concept in probabilistic retrival of memory using neural networks.