prashantcraju Goto Github PK

aima-python

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

ck-plus

Keras implementation of C3D model on Extended Cohn-Kanade Dataset (CK+).

computational-neuroscience

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

metalearning-plasticity

Git repo for the paper "Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways."

min-char-rnn

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

neurolib

Easy whole-brain modeling for computational neuroscientists 👩‍🔬💻🧠

neurora

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

nn-brain

Tutorial codes for modeling brains with neural nets

personal-site

poetry-analysis

Using python to analyze poetry datasets

pycopent

Estimating Copula Entropy (Mutual Information) and Transfer Entropy (Conditional Independence) in Python

rtneuron

Interactive visualization framework for geometrically detailed neuron simulations

sdv

Synthetic Data Generation for tabular, relational and time series data.

spikeflow

Python library for easy creation and running of spiking neural networks in tensorflow.

tensorflow

Computation using data flow graphs for scalable machine learning

transfer_entropy