desaipratik Goto Github PK

adapt

Official code for the paper "ADaPT: As-Needed Decomposition and Planning with Language Models"

agents

A large collection of example and demo Soar agents for a variety of domains and problems.

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

amplify-react-graphql

amplify-static-webapp

analogy

A python web server that build analogies between concepts in knowledge bases.

annotated-transformer

An annotated implementation of the Transformer paper.

arc

The Abstraction and Reasoning Corpus

awesome-causality

Resources related to causality

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bookdown

Authoring Books and Technical Documents with R Markdown

category_theory_machine_learning

List of papers studying machine learning through the lens of category theory

category_theory_resources

List of resources for learning Category Theory

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causal_language_public

In this project, we study the mapping between events in the world and the causal expressions people use to describe them.

causalml

A course on causal machine learning.

chapters

The online textbook Probabilistic Models of Cognition

cloudsim

CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services

cofbot

Simple chatbot based on my Core Objective Functions and Discord

computational_constructivism

coreobjectivefunctions

The Core Objective Functions are the solution to the Control Problem. They will result in a benevolent and trustworthy AGI.

cozmosoar

csm

Contains all materials for the paper "A counterfactual simulation model of causal judgment".

dippl

The Design and Implementation of Probabilistic Programming Languages

domains-eaters-tanksoar

Multi-agent pac-man and tank battle game implemented using Java and interfaced with Soar via SML.

domains-general-game-playing

This tool will dynamically generate an agent based on the Game Description Language used by the General Game Playing project.

domains-roomsworld

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.

examples-and-unsupported

Example code that may or may not still work (unsupported)

former

Simple transformer implementation from scratch in pytorch.

handson-ml3

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.