Juillermo

ABC

The ABC model provides a Bayesian framework to infer multimorbidity associations between health conditions from Electronic Health Records.

cultural-landscapes

noisy-networks-measurements

Noisy network measurement with stan

ScalableInference

Scalable Algorithms for Statistical Inference from Big Data

ndlib

Network Diffusion Library - (for NetworkX and iGraph)

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

awesome-network-analysis

A curated list of awesome network analysis resources.

google-research

Google Research

shan-shui-inf

Procedurally generated Chinese landscape painting.

git-flight-rules

Flight rules for git

COMP6203-2018Fall

COMP6203-2018Fall: Intelligent Agents Module in University of Southampton

lucid

A collection of infrastructure and tools for research in neural network interpretability.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

networkx

Network Analysis in Python

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

iridis5_ml_demo

ViolinMelodyCNNs

biRNN-CRF

Researching the forward-backward algorithm

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

CliqueNet

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

IJCAI2016

This repository is for the replication of our published paper "Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks" on IJCAI2016. Please consult and consider citing the following papers:

Spearmint

Spearmint Bayesian optimization codebase

keras-rl

Deep Reinforcement Learning for Keras.

pyro

Deep universal probabilistic programming with Python and PyTorch

lasagne4bio

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

DeepConvSep

Deep Convolutional Neural Networks for Musical Source Separation

Best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.