sreejank Goto Github PK

abstract_neural_metamers

Code and Data for paper "Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning" (under review)

bash

Implementation of the Unix shell Bash from scratch in C.

bert-brains

compositional_metarl

Code for my paper: Meta-Learning of Compositional Task Distributions in Humans and Machines

cv_vqa

Homework 4 for Advanced Computer Vision: VQA System

deepgenerativegrammar

distributedcodingbrain

Code for my paper "Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain" (published in PLoS Computational Biology)

dreamerv2

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

dreamerv2_tf2

Mastering Atari with Discrete World Models

dreamerv3

Mastering Diverse Domains through World Models

end2enddeepimagereconstruction

first-impressions-video-processing

Calculate the Information entropy of a person's body shift, eye gaze, body tilt/posture, and language.

fmri_reconstruction

Tensorflow implementation of neural reconstruction algorithm described in the preprint "Deep Image Reconstruction from Human Brain Activity" (Shen et al. 2017)

ga3c-deepnavigation

Implementation of DeepMind paper - "Learning to Navigate in Complex Environments"

gym-miniworld

Simple 3D interior simulator for RL & robotics research

information-flow

Short code to compute information flow, the proposed measure of functional connectivity in my paper "An Information Network Flow Approach to Measuring Functional Connectivity and Predicting Behavior" (Under Review)

kaggle-santander

kelletal2018

Parameters for the neural network used in Kell, Yamins, Shook, Norman-Haignere, and McDermott. "A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy." Neuron, 2018.

language_and_programs

Code for paper "Using natural language and program abstractions to instill human inductive biases in machines" (NeurIPS 2022)

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

mazelab

A customizable framework to create maze and gridworld environments

meta-rl

Implementation of Meta-RL A3C algorithm

meta_rl

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

neu501b

perceptualsimilarity

Keras code for implementing the NIPS GAN paper "Generating Images with Perceptual Similarity Metrics based on Deep Networks" (Dosovitsky & Brox 2016)

policlass

Chrome extension that uses machine learning to identify links with articles that have liberal/conservative bias.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

raiders_data

An fMRI dataset from rich naturalistic audio/video stimulation (movie "Raiders of the lost Ark"). Origin: http://datasets.datalad.org/?dir=/labs/haxby/raiders

real-time-sleep-classification

Signal processing application that uses machine learning to classify and visualize sleep states (NREM, REM, awake) in real-time using EEG/EMG

sem