Name: Pratik A. Desai
Type: User
Company: Navinchandra Mehta Institute of Technology and Development (NMITD)
Bio: I am an academic with research interests at the cross section of computational cognitive science and artificial intelligence.
Twitter: desai_pratik
Location: Dadar West, Mumbai
Blog: https://prateekdesai.wordpress.com/
Pratik A. Desai's Projects
Official code for the paper "ADaPT: As-Needed Decomposition and Planning with Language Models"
A large collection of example and demo Soar agents for a variety of domains and problems.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A python web server that build analogies between concepts in knowledge bases.
An annotated implementation of the Transformer paper.
The Abstraction and Reasoning Corpus
Resources related to causality
Recurrent Neural Network - A curated list of resources dedicated to RNN
Authoring Books and Technical Documents with R Markdown
List of papers studying machine learning through the lens of category theory
List of resources for learning Category Theory
Curated research at the intersection of causal inference and natural language processing.
In this project, we study the mapping between events in the world and the causal expressions people use to describe them.
A course on causal machine learning.
The online textbook Probabilistic Models of Cognition
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
Simple chatbot based on my Core Objective Functions and Discord
The Core Objective Functions are the solution to the Control Problem. They will result in a benevolent and trustworthy AGI.
Contains all materials for the paper "A counterfactual simulation model of causal judgment".
The Design and Implementation of Probabilistic Programming Languages
Multi-agent pac-man and tank battle game implemented using Java and interfaced with Soar via SML.
This tool will dynamically generate an agent based on the Game Description Language used by the General Game Playing project.
RoomsWorld is a simulated Soar Robot environment. It is composed of a set of connected rooms, some of which contain blocks. One of the rooms is designated the storage room. The agent's task is to collect the blocks and move them to the storage room. The agent can turn and move forward, and pick up and put down a block. The agent can only carry one block at a time. The agent's movement is continuous and takes time (it turns and moves at a fixed rate). The agent's perception is limited by a vision cone.
Example code that may or may not still work (unsupported)
Simple transformer implementation from scratch in pytorch.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.