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Puiu Balan's Projects

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

freecog icon freecog

freeCoG is a python package for brain imaging data analysis and 3D visualization.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hctsa icon hctsa

Highly comparative time-series analysis code repository

image-recognition icon image-recognition

In this part, we will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show how to do it – by simply changing the pictures in the input folder. For example, we will be able to train the same model on a set of brain images, to detect if they contain a tumor or not. But if we want to keep it fitted to cats and dogs, then we will literally be able to a take a picture of our cat or our dog, and our model will predict which pet we have.

jule.torch icon jule.torch

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

jupyter icon jupyter

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

lab icon lab

A customisable 3D platform for agent-based AI research

litrevpy icon litrevpy

Package to extract scientific journals from search engines. Automatic download to pdf and save to csv files.

matlabnlp icon matlabnlp

Natural Language Processing tools for MATLAB

minc_keras icon minc_keras

minc_keras is a code base that was developped during a hackathon to facillitate the implementation of deep learning models for brain imaging with the Keras package.

ml-in-ofc icon ml-in-ofc

Can we use a machine learning model, i.e. deep learning, to predict decisions based on neural activity in the orbitofrontal cortex? The answer to this question would allow us, by looking at the learned model, to better understand how patterns of neural activity can lead to a decision.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

multi-area-model icon multi-area-model

A large-scale spiking model of the vision-related areas of macaque cortex.

multitask icon multitask

Code for Task representations in neural networks trained to perform many cognitive tasks

nengo icon nengo

A Python library for creating and simulating large-scale brain models

nipype icon nipype

Workflows and interfaces for neuroimaging packages

nstat icon nstat

Neural Spike Train Analysis Toolbox for Matlab

numpy-cnn icon numpy-cnn

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

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