Pranav Mahajan's repositories
HOI_toolbox
Higher-order interactions toolbox
Deep-Learning-Implementations
These are few of my machine learning, deep learning and reinforcement learning implementations
drug_rewards_HRL
Code for paper titled: Doing what’s not wanted: conflict in incentives and misallocation of behavioural control can lead to drug-seeking despite adverse outcomes
Neural-ODE
This repo explains the workings of Neural ODEs and how to use them effectively
NeurIPS-repro
Partial reproduction of paper "A neurally plausible model learns successor representations in partially observable environments."
aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
CTE-Data-Science-And-Machine-Learning
Assignments of the course Data Science and Machine learning
DiffEqParamEstim.jl
A component of the DiffEq ecosystem for parameter estimation
Disaster-Management-
Disaster Management using Text mining.
FAPIA_network_analysis
Network analysis code for FAPIA study
Population_models
Work in progress
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
Safety-Efficiency-Trade-off
The code accompanying our manuscript: Balancing safety and efficiency in human decision making (https://www.biorxiv.org/content/10.1101/2024.01.23.576678v1)
skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
VRPainExptGuide
A tutorial guide to be used in the VR pain workshop practical session: https://sites.google.com/view/oxford-vr-workshop/home