Hari Kalidindi's Projects
Bayesian Data Analysis course at Aalto
The COntextual INference (COIN) model
Code for training neural network controllers to emulate posture and reach tasks
Implementation of feedback alignment learning in PyTorch
A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).
Exercises for the Stanford/Coursera Machine Learning Class
Config files for my GitHub profile.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Preferential Subspace Identification Algorithm
code of reinforcement learning agent learning to play pacman game. A part of exercises in berkley university's course on AI
shared notes on learning theories
Code for simulations of our paper (in revision): "An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise"
Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
overview