sreejank

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.

Compositional_MetaRL

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

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)

fMRI_Reconstruction

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

language_and_programs

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

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.

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

bert-brains

sreejank/Compositional_MetaRL

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

sreejank/language_and_programs

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

sreejank/PerceptualSimilarity

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

sreejank/Abstract_Neural_Metamers

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

sreejank/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)

sreejank/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

sreejank/fMRI_Reconstruction

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

sreejank/Bash

Implementation of the Unix shell Bash from scratch in C.

sreejank/DeepGenerativeGrammar

sreejank/bert-brains

sreejank/CV_VQA

Homework 4 for Advanced Computer Vision: VQA System

sreejank/dreamerv2

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

sreejank/dreamerv2_tf2

Mastering Atari with Discrete World Models

sreejank/dreamerv3

Mastering Diverse Domains through World Models

sreejank/End2EndDeepImageReconstruction

sreejank/First-Impressions-Video-Processing

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

sreejank/gym-miniworld

Simple 3D interior simulator for RL & robotics research

sreejank/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)

sreejank/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.

sreejank/LLaVA

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

sreejank/mazelab

A customizable framework to create maze and gridworld environments

sreejank/meta_rl

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

sreejank/NEU501b

sreejank/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 ;)

sreejank/SEM

sreejank/siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

sreejank/sreejank.github.io

Personal Website

sreejank/synthesizing

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

sreejank/trfl

TensorFlow Reinforcement Learning

sreejank/two-step-task

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".