Deep Learning, NLP, NMT, AI, ML
neural-network-from-scratch CNN implemented from scratch using Python and Numpy. Project commands Install requirements make install Train model make train Execute trained make run Test make test GitHub https://github.com/Joaomlg/neural-network-from-scratch
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SimPEG Simulation and Parameter Estimation in Geophysics – A python package for simulation and gradient based parameter estimation in the context of geophysical applications. The vision is to create a package for finite volume simulation with applications to geophysical imaging and subsurface flow. To enable the understanding of the many different components, this package has the following features: modular with respect to the spacial discretization, optimization routine, and geophysical problem built with the inverse problem in mind provides a framework […]
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This article was published as a part of the Data Science Blogathon. What is user engagement? User engagement is the quality of the user experience that emphasizes the positive aspect of the interaction so that the person who has got this positive experience will want to use the technology longer and often. This is one of the things that a lot of companies– internet companies– try to do. There’s various characteristic. What does it mean to be engaged? Spotify is focused. […]
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Beautiful Soup Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work. These instructions illustrate all major features of Beautiful Soup 4, with examples. I show you what the library is good for, how it works, how to use it, how to make it do what you want, […]
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Home Assistant Home Assistant is the world’s largest home automation platform talking with over 1700 different devices and services. Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. The system is built using a modular approach so support for other devices or actions can be implemented easily. See also the section on architecture and the section on […]
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tqdm tqdm derives from the Arabic word taqaddum (تقدّم) which can mean “progress,” and is an abbreviation for “I love you so much” in Spanish (te quiero demasiado). Instantly make your loops show a smart progress meter – just wrap any iterable with tqdm(iterable), and you’re done! from tqdm import tqdm for i in tqdm(range(10000)): … 76%|████████████████████████ | 7568/10000 [00:33<00:10, 229.00it/s] trange(N) can be also used as a convenient shortcut for tqdm(range(N)). It can also be executed as a module […]
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Charset Normalizer Library that help you read text from unknown charset encoding. Project motivated by chardet, I’m trying to resolve the issue by taking another approach. All IANA character set names for which the Python core library provides codecs are supported. Introduction This library aim to assist you in finding what encoding suit the best to content. It DOES NOT try to uncover the originating encoding, in fact this program does not care about it. By originating we means the […]
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DialoFlow This repository contains the code and pre-trained models for our ACL 2021 paper Conversations are not Flat: Modeling the Intrinsic Information Flow between Dialogue Utterances. We propose the DialoFlow, a new paradigm to construct the dynamic information flow in the dialogue history by addressing the semantic influence brought about by each utterance. Besides, we design an automatic reference-free evaluation metric Flow Score based on the pre-trained DialoFlow for interactive dialogue quality evaluation. DialoFlow We will release the code and […]
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nerf-meta is a PyTorch re-implementation of NeRF experiments from the paper “Learned Initializations for Optimizing Coordinate-Based Neural Representations”. Simply by initializing NeRF with meta-learned weights, we can achieve: Environment Python 3.8 PyTorch 1.8 NumPy, imageio, imageio-ffmpeg Photo Tourism Starting from a meta-initialized NeRF, we can interpolate between camera pose, focal length, aspect ratio and scene appearance. The videos below are generated with a 5 layer only NeRF, trained for ~100k iterations. Your browser does not support the video tag.Your browser […]
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PlutoTest.jl (alpha release) A macro @test that you can use to verify your code’s correctness. But instead of just saying “Pass” or “Fail”, let’s try to show you why a test failed. ✨ time travel ✨ to replay the execution step-by-step ⭐️ multimedia display ⭐️ to make results easy to read Try this demo in your browser First, update Pluto to at least 0.14.5! Next, add this package like so: julia> import Pkg; Pkg.add(Pkg.PackageSpec(url=”https://github.com/JuliaPluto/PlutoTest.jl”)) julia> using PlutoTest julia> @test 1 […]
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