josephdviviano Goto Github PK
Name: Joseph Viviano
Type: User
Company: Mila - Quebec AI Institute
Bio: ML for Science @GFNOrg @mlforscience
Twitter: josephdviviano
Location: Montreal, QC
Blog: http://www.viviano.ca
Name: Joseph Viviano
Type: User
Company: Mila - Quebec AI Institute
Bio: ML for Science @GFNOrg @mlforscience
Twitter: josephdviviano
Location: Montreal, QC
Blog: http://www.viviano.ca
madamne ricard and the booster palz investigate whether the main benefit to adaboost is adding capacity to the ensemble, vs. the introduction of models that specialize on subsets of the data
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
analysis done for Wheeler et al 2017
Unifying Generative Autoencoder implementations in Python
basic bloom filter in java
brainhack 2019 deep learning teaching material
code related to viviano, park, voineskos, & chakravarty 2016
The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets
work done on hawco et al. 2017
Using CNN embeddings as a 'similarity measure'
natural language processing
reinforcement learning
Keras implementation of Representation Learning with Contrastive Predictive Coding
tigrlab dashboard development
scripts for managing xnat, QC, and data analysis
Implementation related to the Deep Complex Networks
dishonored ultimate difficulty mod
dti connectivity matrices using probabilistic and deterministic methods
The entmax mapping and its loss, a family of sparse softmax alternatives.
This repo provides code used in the paper "Entropy Penalty: Towards Generalization Beyond the IID Assumption" (https://arxiv.org/abs/1910.00164):
scriptit modules for fmri analysis
Equilibrium Propagation
Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
Tools for building fully convolutional networks (FCN), simply.
Utilities for running stats using FSL's tools (without using FSL's GUI)
Interactive demos describing the main concepts behind GFlowNets
Grounded SCAN data set.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.