Florian Gesser's repositories
8cc
A Small C Compiler
AMICO
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data
awesome-courses
List of awesome university courses for learning Computer Science!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
bci-challenge-ner-2015
Code and documentation for the winning solution at the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge
caffe
Caffe: a fast open framework for deep learning.
caffe-tutorial
DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe
COMMIT
Linear framework to combine tractography and tissue micro-structure estimation with diffusion MRI
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
cs231n.github.io
Public facing notes page
dc-ign
The Deep Convolutional Inverse Graphics Network
dipy
Diffusion MR Imaging in Python
dl-machine
Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
gatsby_neuroscience
Notes for the theoretical Neuroscience course of the Gatsby Unit, UCL
kaggle-galaxies
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
math_in_python
Collection of graphically nice-looking python implementations of various problems of mathematical nature
MathBox.js
MathBox is a (work in progress) library for making presentation-quality math diagrams in WebGL.
mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
nilearn
Machine learning for NeuroImaging in Python
openvg
Tools for exploring OpenVG
papers-we-love
Papers from the computer science community to read and discuss.
pgmpy_notebook
Getting Started guide to PGM and pgmpy
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 ;)
ramp
Rapid Machine Learning Prototyping in Python
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Theano-Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
xplain
A series of articles to help explain the X Window System