Interest in reinforcement learning (RL) has recently surged due to the application of deep learning techniques, but these connectionist approaches are opaque compared with symbolic systems. Learning Classifier Systems (LCSs) are evolutionary machine...
Nashville Obsolete is the second studio album released by Dave Rawlings Machine, project consisting of guitarist Dave Rawlings with long-time partner Gillian
Machine Learning Project Designed to Predict Hair Loss in an Individual (⭐ 1)
Artificial Intelligence (AI) and Machine Learning have enormous potential to transform businesses and disrupt entire industry sectors. However, companies wishing to integrate algorithmic decisions into their face multiple challenges: They have to ide...
In this paper, we propose a neural machine translation system for Wolof, a low-resource Niger-Congo language. First we gathered a parallel corpus of 70000 aligned French-Wolof sentences. Then we developped a baseline LSTM based encoder-decoder archit...
the Wayback Machine Shared Experience website https://archive.today/20130914170855/http://www.share-your-experiences.com/ The Shared Experience Theatre
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data. (⭐ 2226)
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India. (⭐ 1663)
Cultured meat has the potential to provide a complementary meat industry with reduced environmental, ethical, and health impacts. However, major technological challenges remain which require time- and resource-intensive research and development effor...
Machine Learning project on Breast Cancer data set (⭐ 0)
I’ve had several Keurigs and they’ve literally all stopped working within a year and I’m so tired of it. I don’t want a big fancy espresso machine that takes up a bunch of counter space but ...
Issued from Optimal Transport, the Wasserstein distance has gained importance in Machine Learning due to its appealing geometrical properties and the increasing availability of efficient approximations. In this work, we consider the problem of estima...
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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image (⭐ 4402)
Cybercrime is one of the major digital threats of this century. In particular, ransomware attacks have significantly increased, resulting in global damage costs of tens of billion dollars. In this paper, we train and test different Machine Learning a...
Despite the promising results of machine learning models in malicious files detection, they face the problem of concept drift due to their constant evolution. This leads to declining performance over time, as the data distribution of the new files di...
ATMs, however, the fees are paid by the card-issuing bank to the acquiring bank (for the maintenance of the machine). These fees are set by the credit
The minimum graph cut and minimum $s$-$t$-cut problems are important primitives in the modeling of combinatorial problems in computer science, including in computer vision and machine learning. Some of the most efficient algorithms for finding global...
iQual is a package that leverages natural language processing to scale up interpretative qualitative analysis. It also provides methods to assess the bias, interpretability and efficiency of the machine-enhanced codes. iQual has been applied to analyse intervi…
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube (⭐ 7632)