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12-2_random_walk_d2

numerical simulation with python

absorbing-centrality

An implementation of the absorbing random-walk centrality

actor_critic_dqn

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

anomaly-detection-patchsvdd-pytorch

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

bbo-ela

Toolkit for ELA of continuous black-box optimization problems

biased-random-walk

A generation of a (stochastic) random walk based on specific probability distributions

budgeted-sensor-placement

Placing a limited budget of sensors on a tree to optimize source localization.

cellcnn

Representation Learning for detection of phenotype-associated cell subsets

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

discrete-optimization-coursera

distributedes

Distributed implementation of popular evolutionary methods

energy-data-science

Projects from work or university courses related to energy data science

fai-pep

Facebook AI Performance Evaluation Platform

feedbackcontrolsystemsee483

Linear feedback control systems problems

fisher-information-matrix

PyTorch implementation of FIM and empirical FIM

gaussianprocess

Gaussian Process Preference Learning for creating board game heuristics

george

Fast Gaussian Processes for regression

global-flow-local-attention

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

gtn

hashingdeeplearning

Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

hypersearch

Hyerparameter Optimization for PyTorch

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

infodrop

Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)

informationtheory

Working with Stefano Martiniani on different forms of information theory

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

minibook-code

Recipes of the IPython Minibook