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ml-lab's Projects

arflow icon arflow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

arithmetic icon arithmetic

Code for our paper "Visual Learning of Arithmetic Operations" AAAI 16'

array2gif icon array2gif

Provides a function to write a NumPy array to a GIF, or a list of arrays to an animated GIF.

ars-aug icon ars-aug

Augmented Random Search for Data Augmentation

arshooter icon arshooter

A basic Augmented Reality shooter made with ARKit in Swift (iOS 11)

art-dcgan icon art-dcgan

Modified implementation of DCGAN focused on generative art.

artbench icon artbench

Benchmarking Generative Models with Artworks

artemis icon artemis

Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.

artificial-adversary icon artificial-adversary

🗣️ Tool to generate adversarial text examples and test machine learning models against them

artminer icon artminer

Pytorch implementation of Paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning"

artnet icon artnet

Appearance-and-Relation Networks

artvqa icon artvqa

AQUA dataset and VIKING model for the task of Art Visual Question Answering

arviz icon arviz

Exploratory analysis of Bayesian models with Python

arxausality icon arxausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

arxiv2020-rife icon arxiv2020-rife

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

asap icon asap

Amino-Acid Sequence Annotation Predictor

asap-1 icon asap-1

ASAP: Prioritizing Attention via Time Series Smoothing

asis icon asis

Associatively Segmenting Instances and Semantics in Point Clouds

asymmetricgan icon asymmetricgan

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

async-rl icon async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

async-rl-1 icon async-rl-1

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

asynchronous-methods-for-deep-reinforcement-learning icon asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

atari-py icon atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

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