Deep Learning, NLP, NMT, AI, ML
Frappeauth App Frappe app for authentication, can be used with FrappeVue-AdminLTEhttps://github.com/mymi14s/frappevue_adminlte INSTALLATION bench get-app https://github.com/mymi14s/frappeauth_app bench –site sitename install-app frappeauth_app bench restart Edit site_config.json and add “allow_cors”: “*” // * can also be replace with a domain name. License MIT GitHub View Github
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CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images. JPEG files can be extracted from DICOM files or used directly. CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.JPEG files can be extracted from DICOM files or used directly. The latest official release: primary author: Candace Makeda H. Moore other authors + […]
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Here’s a collection of papers by your favorite big tech and educational institutions. “The Generalist Language Model (GLaM), a trillion weight model that can be trained and served efficiently (in terms of computation and energy use) thanks to sparsity, and achieves competitive performance on multiple few-shot learning tasks. GLaM’s performance compares favorably to a dense language model, GPT-3 (175B) with significantly improved learning efficiency across 29 public NLP benchmarks in seven categories, spanning language completion, open-domain question answering, and natural […]
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Python is a general-purpose programming language. You can understand its growth in the last couple of years by considering its approachability for learning and its high suitability for data analysis, machine learning, and web development. But what kind of programming language is it? What are some differences when you compare Java vs Python? What can you do with it? And is it really as “easy to learn” as some people claim? You’ll explore Python from a Java perspective in this […]
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EDUCATIONAL PURPOSES ONLY Python3 library that can retrieve Chrome-based browser’s saved login info. Requirements secretstorage~=3.3.1 pywin32==302 (Only Windows) pycryptodome==3.12.0 Notice that these libraries will be automatically installed through the setup.pyfile when using pip install passax. Usage Notice that sometimes you might get a blank output, this can be because you had installed the browser you’re trying toget data from, but the login data was erased. Print to screen the login info from Chrome.
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The original work URL: https://github.com/descriptinc/melgan-neurips Previous works have found that generating coherent raw audio waveforms with GANs is challenging. In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveforms by introducing a set of architectural changes and simple training techniques. Subjective evaluation metric (Mean Opinion Score, or MOS) shows the effectiveness of the proposed approach for high quality mel-spectrogram inversion. To establish the generality of the proposed techniques, we show qualitative […]
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Digdata presented ‘BrandX’ as a clothing brand that wants to know the best places to set up a ‘pop up’ store. I used the dataset given to write a program that ranks these places. Digdata – Analysis/Final Report I created a program that goes through the excel spreadsheet and analysis the data in a selection of categories. The code would rank each of the retail centres within each category and add points accordingly. The code then adjusted the total point […]
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Detector for Log4Shell exploitation attempts Idea The problem with the log4j CVE-2021-44228 exploitation is that the string can be heavily obfuscated in many different ways. It is impossible to cover all possible forms with a reasonable regular expression. The idea behind this detector is that the respective characters have to appear in a log line in a certain order to match. Split up into a list it would look like this: [‘$’, ‘{‘, ‘j’, ‘n’, ‘d’, ‘i’, ‘:’, ‘l’, ‘d’, […]
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Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! It takes 100ms on a 2015 Titan X to style the MIT Stata Center (1024×680) like Udnie, by Francis Picabia. Our implementation is based off of a combination of Gatys’ A Neural Algorithm of Artistic Style, Johnson’s Perceptual Losses for Real-Time Style Transfer and Super-Resolution, and Ulyanov’s Instance Normalization.THe repository i based on https://github.com/lengstrom/fast-style-transfer.git. Image Stylization We added styles from various […]
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